Publications

Dr Khan's Publications


Dr. Latifur Khan has published over 250 papers in premier journals such as VLDB, Journal of Web Semantics, Transaction: IEEE TDKE, IEEE TDSC, IEEE TSMC, and AI Research and in prestigious conferences such as AAAI, IJCAI, CIKM, ICDE, ACM WWW, GIS, IEEE ICDM, IEEE BigData, ECML/PKDD, PAKDD, ACM Multimedia, ICWC, ACM SACMAT, IEEE ICSC, IEEE Cloud and INFOCOM. He has been invited to give keynotes and talks at a number of conferences hosted by IEEE and ACM. In addition, he has recieved the following awards:

  • ACM Distinguished Scientist.
  • Fellow of SIRI (Society of Information Reuse and Integration) award in Aug 2018.
  • IBM Faculty Award (Research), 2016: Fundamental Research on Data Analytics (Stream Mining).
  • IEEE Big Data Security Senior Research Award at the IEEE BigDataSecurity Conference, George Washington University, USA, May 2019.
  • IEEE Technical Achievement Award, IEEE Systems Man and Cybernetics Society and the IEEE Transportation Systems Society, 2012.
  • Given Keynote in more than 20 selective conferences/workshops around the world including but not limited to HICSS SYMPOSIUM 2019, BigCyber – 2018, BigMine2018, and ICCIT.

  1. Recurring and Novel Class Detection using Class-Based Ensemble for Evolving Data Stream
    Tahseen Al-Khateeb, Mohammad Masud, Khaled Al-Naami, Sadi SEKER, Ahmad Mustafa, Latifur Khan, Zouheir Trabelsi, Charu Aggarwal, Jiawei Han, IEEE Transacs on Knowledge &IEEE Transactions on Knowledge & Data Engineering, 28(10): 2752-2764 (2016).
  2. Online Anomaly Detection for Multi-source VMware Using a Distributed Streaming Framework
    Mohiuddin Solaimani,  Mohammad  Iftekar, Latifur Khan, Bhavani Thuraisingham, Joe Ingram, Journal of Software: Practice and Experience. John Wiley & Sons, Ltd., 46(11): 1479-1497 (2016) (Impact Factor: 1.008).
  3. GISQAF: MapReduce guided spatial query processing and analytics system
    Khaled Mohammad Al-Naami,  Sadi Evren Seker,Latifur Khan, ,Journal of Software: Practice and Experience. John Wiley & Sons, Ltd., doi: 10.1002/spe.2383, 46(10): 1329-1349 (2016).
  4. Implementation and Performance Evaluation of a Scheduling Algorithm for Divisible Load Parallel Applications in a Cloud Computing Environment
    Leila Fayez Ismail, Latifur Khan, ,Journal of Software: Practice and Experience. John Wiley & Sons, Ltd. (Impact Factor: 1.008), Published MAR 2014, DOI: 10.1002/spe.2258, Page 1-16.
  5. Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams
    Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarawal, Jing Gao,  Jiawei  Han,  Ashok  Srivastava,  Nikunj C.  Oza, IEEE Trans. Knowledge and Data Engineering (TKDE), 25(7): 1484-1497 (2013).
  6. Evolving Insider Threat Detection Stream Mining Perspective
    Pallabi Parveen, Nathan  McDaniel, Zachary R. Weger, Jonathon  Evans,  Bhavani M.  Thuraisingham,  Kevin W.  Hamlen, Latifur Khan, Zachary R. Weger, and Bhavani Thuraisingham, International Journal on Artificial Intelligence Tools 22(5) (2013) (Impact Factor: 0.667).
  7. MapIt: a case study for location drive knowledge discovery and mining
    Satyen Abrol, Latifur Khan, Fahad Bin Muhaya, International Journal of Data Mining, Modelling and Management, (IJDMMM) 5(1): 57-75 (2013).
  8. Optomzied ontology-drive Query Expansion using Map-Reduce framework to Facilitate Federated Queries Classification
    Neda Alipanah, Latifur Khan, Bhavani Thuraisingham, Journal of Computer System Science & Engineering, Vol. 27, No. 2, (2012), CRL Publishing, UK.
  9. Multimodal Concept Fusion using Semantic Closeness for Image Concept Disambiguation
    Ahmad Adel Abu Shareha, Mandava Rajeswari, Latifur Khan, Dhanesh Ramachandram, Multimedia Tools Appl. 61(1): 69-86 (2012) (impact factor: 0.617).
  10. Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints
     Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham, IEEE Transactions on Knowledge & Data Engineering (TKDE), 2011, IEEE Computer Society, June 2011, Vol. 23, No. 6, Page 859-874. (Full paper). (Impact Factor: 2.285).
  11. Heuristics Based Query Processing for Large RDF Graphs Using Cloud Computing
     Mohammad Husain, Mohammad Mehedy Masud, James McGlothlin, and Latifur Khan IEEE Transactions on Knowledge & Data Engineering (TKDE), 2011, IEEE Computer Society, September 2011, Vol. 23, No. 9, Page 1312-1327. (Full paper). (Impact Factor: 2.285).
  12. Optmized ontology-driven query expansion using map-reduce framework to facilitate federated queries
     Neda Alipanah, Latifur Khan, Bjavani Thurisingham Comput. Syst. Sci. Eng. 27(2): (2012).
  13. Multimodal concept fusion using semantic closeness for image concept disambiguation. Multimedia Tools Appl 
    Ahmad Adel Abu Shareha, Mandava Rajeswari, Latifur Khan, Dhanesh Ramachandram. 61(1): 69-86 (2012).
  14. Cloud-based Malware Detection for Evolving Data Streams
     Tahseen Al-Khateeb, Mohammad Mehedy Masud, Kevin Hamlen, Latifur Khan, Jing Gao, Jiawei Han and Bhavani Thuraisingham ACM Transactions on Management Information Systems, Vol. 2, No. 3, Page 16-1-27. (Invited Paper).
  15. Geographically-Typed Semantic Schema Matching
     Jeffrey Partyka, P. Parveen, Latifur Khan, Bhavani Thuraisingham, Shashi Shekhar Web Semantics Journal: Science, Services and Agents on the World Wide Web, Elsevier, Vol. 9, No 1, March 2011, Pages 52-70. (Full paper) (Impact Factor is 3.412).
  16. Geospatial Resource Description Framework (GRDF) and security constructs
     Ashraful Alam, Latifur Khan, Bhavani Thuraisingham Computer Standards & Interfaces Vol. 33, No. 1, Page: 35-41 (2011). (Full paper) (Impact Factor: 1.373).
  17. Ontology based policy interoperability in geo-spatial domain
     Mohammad Farhan Husain, Tahseen Al-Khateeb, Mohmmad Alam, Latifur Khan Computer Standards & Interfaces Vol. 33, No. 1, Page: 214-219 (2011). (Full paper) (Impact Factor: 1.373).
  18. Weakly Supervised Caused Identification from Aviation Safety Reports via Semantic Lexicon Construction
     Muhammad Abedin, Vincent Ng and Latifur Khan Journal of Artificial Intelligence Research (JAIR) by AAAI press, Vol. 38 (2010) Page 569-631. (Full paper).
  19. Objective Risk Evaluation for Automated Security Management 
    Mohammad Salim Ahmed, Ehab Al Shaer and Latifur Khan Journal of Network and Systems Management, Special Issue on Security Management, Springer. Journal of Network and Systems Management (JNSM), Springer New York, ISSN 1064-7570, pp. 1-24, 2010. (Full Paper) (Impact Factor: 1.356).
  20. Secure Data Objects Replication in Data Grids 
    Manghui Tu, Peng Li, I-Ling Yen, Bhavani Thuraisingham, and Latifur Khan IEEE Transactions on Dependable and Secure Computing, January-March 2010, Vol. 7 No.1, page 50-64. (Full Paper) (Impact Factor: 2.093).
  21. Analysis of Firewall Policy Rules Using Traffic Mining Techniques, 
    Muhammad Abedin, Syeda Nessa, Latifur Khan, Ehab S. Al-Shaer, Mamoun Awad, International Journal of Internet Protocol Technology, Special Issue on: Recent Advances in Network Security Attacks and Defenses, Volume 5, Numbers 1-2, 9 April 2010, pp. 3-22 (20) Inderscience Publishers. (Full paper).
  22. Bi-directional Translation of Relational Data into Virtual RDF Stores
     Sunitha Ramanujam, Vaibhav Khadilkar, Latifur Khan, Steven Seida, Murat Kantarcioglu, Bhavani Thuraisingham International Journal of Semantic Computing (IJSC), World Scientific, Vol. 4, No. 4, Page: 423-457, 2010. (Full Paper).
  23. Relationalization of Provenance Data in Complex RDF Reification Nodes
    , Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida and Bhavani Thuraisingham Electronic Commerce Research Journal - special issue on Trust and Privacy Aspects of Electronic Commerce (Invited Paper), Vol. 10, No. 3-4, Page: 389-421, 2010, Springer Netherlands. (Full paper).
  24. Knowledge-based Image Annotation Refinement
     Yohan Jin, Latifur Khan, and Balakrishnan Prabhakaran Journal of Signal Processing Systems, Springer New York, Volume 58, Number 3 March, 2010, Page:387-406 (Full Paper) (Impact Factor: 0.533).
  25. R2D: A Framework for the Relational Transformation of RDF Data 
    Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida and Bhavani Thuraisingham International Journal of Semantic Computing (IJSC), World Scientific Publisher (Special issue) Volume: 3, Issue: 4 (2009) pp. 471-498, DOI: 10.1142/S1793351X09000884. (Full paper).
  26. Exploiting an antivirus interface
     Kevin W. Hamlen, Vishwath Mohan, Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham, Computer Standards & Interfaces, Vol. 31 No. 6, Page: 1182-1189 (2009) (Full Paper), (Impact factor: 1.373).
  27. Multi-label Large Margin Hierarchical Perceptron 
    Clay Woolam, and Latifur Khan, International Journal of Data Mining, Modelling and Management, Vol. 1, No 1, 2008, Page: 5-22 (2008), INDERSCIENCE Publishers, UK. (Full Paper).
  28. A Scalable Multi-level Feature Extraction Technique to Detect Malicious Executables
     Mohammad Masud, Latifur Khan, and Bhavani Thuraisingham, Information Systems Frontiers, Springer Netherlands, Vol. 10, No. 1, Page 33-45, Springer. (Full Paper) (Impact factor: 1.309).
  29. Predicting WWW Surfing Using Multiple Evidence Combination
     Mamoun Awad, Latifur Khan, and Bhavani Thuraisingham The VLDB Journal: The International Journal on Very Large Databases, Vol. 17, No. 3, Page 401-417 (2008), ACM/Springer-Verlag Publishing. (Full Paper) (Impact Factor: 4.517).
  30. Web Navigation Prediction Using Multiple Evidence Combination and Domain Knowledge 
    Mamoun Awad and Latifur Khan IEEE Transactions on Systems, Man, and Cybernetics, Part A, Vol. 37, No. 6, Page 1054 - 1062, November 2007. (Full Paper) (Impact Factor: 0.821).
  31. Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory 
    FengLuo, Yunfeng Yang, Jianxin Zhong, Haichun Gao, Latifur Khan, Dorothea K. Thompson, Jizhong Zhou, BMC Bioinformatics 2007, 8:299, doi:10.1186/1471-2105-8-299. (Full Paper) (Impact Factor: 3.43).
  32. A Framework for a Video Analysis Tool for Suspicious Event Detection 
    Gal Lavee, Bhavani Thuraisingham and Latifur Khan Multimedia Tools and Applications Journal, Springer, A Special issue of Multimedia Data Mining, Vol. 35, No. 1, Page 109-123, October 2007. (Full Paper) (Impact Factor is 0.626).
  33. Email Worm Detection using Data Mining
     Mohammad Masud, Latifur Khan, and Bhavani Thuraisingham International Journal of Information Security and Privacy, 2007, Vol. 1, Issue 4, Page: 47-61 (Full Paper).
  34. Rapid Goal-Oriented Automated Software Testing using MEA-Graph Planning
     Manish Gupta, Farokh Bastani, Latifur Khan, and I-Ling Yen Software Quality Journal, Springer, Vol. 15, No. 3, Page 241-263, September, 2007. (Full Paper) (Impact Factor: 0.977).
  35. A Framework for Automated Image Annotation
    Lei Wang, Latifur Khan, and Bhavani Thuraisingham International Journal of Computer Systems Science and Engineering, CRL Publishing LTD, United Kingdom, Vol. 22 No. (1-2), Page 15-24 January-March 2007. (Full Paper).
  36. A New Intrusion Detection System using Support Vector Machines and Hierarchical Clustering
     Latifur Khan, Mamoun Awad, and Bhavani Thuraisingham The VLDB Journal: The International Journal on Very Large Databases, ACM/Springer-Verlag Publishing, Vol. 16, No. 1, Page 507-521, (January 2007). (Full Paper) (Impact Factor: 4.517).
  37. Standards for Image Annotation Using Semantic Web
     Latifur Khan Computer Standards and Interface Journal, Vol. 29, No. 2, Page 196-204, Elsevier Publishing, North Holland, (February 2007). (Full Paper) (Impact factor: 1.373).
  38. Standards for Secure Data Sharing Across Organizations
    Douglas Harris, Latifur Khan, Raymond Paul, and Bhavani Thuraisingham Computer Standards and Interface Journal, Vol. 29, No. 1, Page 86-96, Elseiver Publishing, North Holland (January 2007). (Full Paper) (Impact factor: 1.373).
  39. Automatic Image Annotation and Retrieval using Weighted Feature Selection
    Lei Wang and Latifur Khan Multimedia Tools and Applications Journal, Vol. 29, No. 1, Page 55-71, Springer (April 2006). (Full Paper) (Impact Factor is 0.626).
  40. Real-time Classification of Variable length Multi-attribute Motion Data
     Chuanjun Li, Latifur Khan, and Balakrishnan Prabhakaran International Journal of Knowledge and Information Systems (KAIS), Vol. 10, No. 2, Page 163-183, Springer-Verlag (August 2006). (Full Paper) (Impact Factor is 2.211).
  41. Secure Knowledge Management: Confidentiality, Trust, and Privacy 
    Elisa Bertino, Latifur Khan, Ravi Sandhu, and Bhavani Thuraisingham IEEE Transactions on Systems, Man and Cybernetics, Part A, A Special Issue on Secure Knowledge Management, Vol. 36, No. 3, Page 429-438, (May 2006). (Full Paper) (Impact Factor: 0.821).
  42. A Repository for Component-Based Embedded Software Development
     Tong Gao, Hui Ma, I-Ling Yen, Latifur Khan, and Farokh Bastani International Journal of Software Engineering & Knowledge Engineering, Vol. 16, No. 4, Page 523- 552, World Scientific Publishing Co., Singapore (August 2006). (Full Paper) (Impact Factor: 0.44).
  43. A Study of the Model and Algorithms for Handling Location Dependent Continuous Queries
     Manish Gupta, Manghu Tu, Latifur Khan, Farokh Bastani, and I-Ling Yen The International Journal of Knowledge and Information Systems (KAIS), Springer- Verlag, Vol. 8, No. 4, Page 414-437 (November 2005). (Full Paper) (Impact factor is 2.211).
  44. Hierarchical Clustering for Complex Data
     Latifur Khan and Feng Luo The International Journal on Artificial Intelligence Tools, World Scientific Publishers, Vol. 14, No. 5 Page 791-810, (October 2005). (Full Paper) (Impact Factor: 0.667).
  45. A Framework for Effective Annotation of Information from Closed Captions Using Ontologies
     Latifur Khan, Dennis McLeod, and Eduard Hovy The Journal of Intelligent Information Systems (JIIS), Kluwer Academic Publishers, Vol. 25, No. 2 Page 181-205, (September 2005). (Full Paper) (Impact Factor: 0.98).
  46. A Dynamically Growing Self-Organizing Tree (DGSOT) for Hierarchical Clustering Gene Expression Profiles
     Feng Luo, Latifur Khan, Farokh Bastani, I-Ling Yen, and J. Zhou The Bioinformatics Journal, Oxford University Press, UK, Vol. 20, No.16, Page 2605-2617, (November 2004). (Full Paper) (Impact Factor: 4.926).
  47. Change Detection in XML Documents for Fixed Structures using Exclusive-Or (XOR)
    Latifur Khan, Qing Chen, and Lei Wang, Journal of Digital Information Management (JDIM), Digital Information Research Foundation Publishing, Vol. 2, No. 3, Page 142-147, (September 2004). (Short Paper).
  48. Retrieval Effectiveness of Ontology-based Model for Information Selection
    Latifur Khan, Dennis McLeod, and Eduard Hovy VLDB Journal: The International Journal on Very Large Databases, ACM/Springer-Verlag Publishing, Vol. 13, No. 1, Page 71-85, (January 2004). (Full Paper) (Impact Factor: 4.517).
  49. An Adaptive Probe-Based Technique to Optimize Join Queries in Distributed Internet Databases
    Latifur Khan, Dennis. McLeod, and Cyrus Shahabi International Journal of Database Management, Idea Group Publishing, Hershey, PA, Vol. 12, No. 4, Page 3-14, (October-December 2001). (Full Paper) (Impact Factor is 2.0).
  50. A Probe-Based Technique to Optimize Join Queries in Distributed Internet Databases
    Cyrus Shahabi, Latifur Khan, and Dennis. McLeod International Journal of Knowledge and Information Systems (KAIS), Springer-Verlag Publishing, Heidelberg, Germany, Vol. 2, No. 3, Page 372-385, (August 2000). (Short Paper) (Impact Factor is 2.211).

Published

  1. Towards Self-Adaptive Metric Learning On the Fly
    Yung Gao, Yi-Fan Li, Latifur Khan, and Bhavani M. Thuraisingham, In proc. of the World Wide Web Conference (WWW), San Francisco, CA, 2019.
  2. Multistream Classification for Cyber Threat Data with Heterogeneous Feature Space
    Yi-Fan Li, Yang Gao, Gbadebo Ayoade, Hemeng Tao, Latifur Khan, and Bhavani M. Thuraisingham, In proc. of the World Wide Web Conference (WWW), San Francisco, CA, 2019.
  3. Robust High Dimensional Stream Classification with Novel Class Detection
    Zhouyi Wang, Swarp Chandra, Latifur Khan, In 35th IEEE International Conference on Cloud Computing (ICDE 2019), Macau, China, April 2019.
  4. Multistream Classification with Relative Density Ratio Estimation
    Bo Dong, Yang Gao, Swarup Chandra and Latifur Khan, In proc. of 33th AAAI Conference on Artificial Intelligence (AAAI), Honolulu, HI, 2019.
  5. Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics
    Yung Gao, Swarup Chandra, Zhouyi Wang, and Latifur Khan, in Deep Learning Day workshop: The 24th ACM SIGKDD International Conference on Knowledge and Discovery & Data Mining (KDD), London, UK, 2018.
  6. GCI: A Transfer Learning Approach for Detecting Cheats of Computer Game
    Bo Dong, MD Shihabul Islam, Swarup Chandra, Latifur Khan and Bhavani M. Thuraisingham, In proc. of 2018 IEEE International Conference on Big Data (IEEE BigData), Seattle, WA, 2018.
  7. Predicting Hospital Capacity and Efficiency
    James P. McGlothin, Sriveni Vedire, Hari Srinivasan, Amar Madgula, Srinivasan Rajagopalan, Latifur Khan, In proc. of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018)- HEALTHINF, Funchal, Madeira, Portugal, January 19-21, 2018.
  8. BCD: Decomposing Binary Code into Components Using Graph-Based Clustering
    Vishal Karande, Swarup Chandra, Zhiqiang Lin, Juan Caballero, Latifur Khan Kevin W. Hamlen, In proc. of the 2018 on Asia Conference on Computer and Communications Security, Asisa CCS 2018, Incheon, Republic of Korea, June 04-08, 2018.
  9. Automated Threat Report Classification over Multi-Source Data
    Gbadebo Ayoade, Swarup Chandra, Latifur Khan, Kevin H. Hamlen, Bhavani Thuraisingham, In proc. of the 4th IEEE International Conference on Collaboration and Internet Computing, CIC 2018, Philadelphia, PA, USA, October 18-20, 2018.
  10. LogLens: A Real-Time Log Analysis System
    Biplob Debnath, Mohiuddin Solaimani, Muhammad Ali Guznar, Nipun Arora, Cristian Lumezanu, Jianwu Xu, Bo Zong, Hui Zhang, Guofei Jiang, Latifur Khan, and Bhavani M. Thuraisingham, In proc. of the 38th IEEE International Conference on Distributed Computing Systems, ICDCS, 2018, Vienna, Austria, July 2-6, 2018.
  11. Ensemble Direct Density Ratio Estimation for Multistream Classification
    Swarup Chandra, Ahsanul Haque, Hemeng Tao, Jie Liu, Latifur Khan, and Charo C. Aggarwal, In proc. of the 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018.
  12. Integrating Cyber Security and Data Science for Social Media: A Position Paper
    Bhavani M. Thuraisingham, Murat Kantarcioglu, Latifur Khan, In proc. of 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2018, Vancouver, BC, Canada, May 21-25, 2018.
  13. Decentralized IoT Data Management Using BlockChain and Trusted Execution Environment
    Gbadebo Ayoade, Vishal Karande, Latifur Khan, Kevin W. Hamlen, In proc. of 2018 IEEE International Conference on Information Reuse and Integration, IRI 2018, Salt Lake City, UT, USA, July 6-9, 2018.
  14. A Complex Task Scheduling Scheme for Big Data Platforms Based on Boolean Satisfiability Problem
    Huang Hong, Latifur Khan, Ayoade Gbadebo, Zhou Shaohua, Wei Yong, In proc. of 2018 IEEE International Conference on Information Reuse and Integration, IRI 2018, Salt Lake City, UT, USA, July 6-9, 2018.
  15. SPERG: Scalable Political Event Report Geoparsing in Big Data
    Aswin Krishna Gunasekaran, Maryam Bahojb Imani, Latifur Khan, Christan Grant, Patrick T. Brandt, Jennifer S. Holmes, In proc. of 2018 IEEE International Conference on Intelligence and Security Informatics, ISI 2018, Miami, FL, USA, November 9-11, 2018.
  16. A Framework for Multistream Regression with Direct Density Ratio Estimation
    Ahsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, and Latifur Khan, In proc. of 32nd AAAI Conference on Artificial Intelligence (AAAI-18), February 2–7, 2018, New Orleans, Louisiana, USA.
  17. Ensemble Direct Density Ratio Estimation for Multistream Classification
    Swarup Chandra, Ahsanul Haque, Hemeng Tao, Latifur Khan, Jie Liu, Charu Aggarwal, In proc. of 34th IEEE International Conference on Data Engineering (ICDE 2018), April 16th – 19th, 2018, Paris, France.
  18. Regression with Asynchronous Concept Drift Detection
    Bo Dong, Yifan Li, Yang Gao, Ahsanul Haque, Latifur Khan, Mohammad M. Masud, In proc. of 2017 IEEE International Conference on Big Data (Big Data), pp. 596-605.
  19. RePAIR: Recommend Political Actors In Real-time From News Websites
    Mohiuddin Solaimani, Sayeed Salam, Latifur Khan, Patrick T. Brandt, Vito D'Orazio, In proc. of 2017 IEEE International Conference on Big Data (Big Data) pp. 1333-1340.
  20. Unsupervised Deep Embedding for Novel Class Detection over Data Stream
    Ahmad M. Mustafa, Gbadebo Ayoade, Khaled Al-Naami, Latifur Khan Kevin W. Hamlen, Bhavani M. Thuraisingham, Frederico Araujo, In proc. of 2017 IEEE International Conference on Big Data (Big Data) pp. 1830-1839.
  21. Focus Location Extraction from Political News Reports with Bias Correction
    Maryam B. Imani, Swarup Chandra, Samuel Ma, Latifur Khan, Bhavani Thuraisingham, In proc. of 2017 IEEE International Conference on Big Data (Big Data) pp. 1956-1964.
  22. FUSION - An Online Method for Multistream Classification
    Ahsanul Haque, Zhuoyi Wang, Swarup Chandra, Bo Dong, Latifur Khan, In proc. of the 26th ACM International Conference on Information and Knowledge Management (CIKM), CIKM 2017, November 2017, Singapore.
  23. Securing Data Analytics on SGX with Randomization
    Swarup Chandra, Vishal Karande, Zhiqiang Lin, Latifur Khan, Murat Kantarcioglu, and Bhavani M. Thuraisingham, In proc. of European Symposium on Research in Computer Security (ESORICS 2017), Oslo, Norway, September 2017.
  24. A Practical Encrypted Data Analytic Framework With Trusted Processors
    Fahad Shanon, Murat Kantarcioglu, Zhiqiang Linr, Latifur Khan, In proc. of ACM Conference on Computer and Communications Security (CCS 2017), Dallas, Texas, October, 2017.
  25. Online Classification of Nonstationary Streaming Data with Dynamic Pitman-Yor Diffusion Trees
    Justin Sahs and Latifur Khan, In proc. of ICTAI 2017: IEEE International Conference on Tools with Artificial Intelligence (ICTAI), November, 2017, Boston, MA, USA.
  26. A Scalable Spark-Based Fault Diagnosis Platform for Gearbox Fault Diagnosis in Wind Farms
    Maryam B. Imani, Mehrdad Heydarzadeh, Latifur Khan, Mehrdad Nourani, In proc. of 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017. IEEE Computer Society 2017, ISBN 978-1- 5386-1562-1, IRI 2017: 100-107.
  27. SGX-Log: Securing System Logs With SGX
    Vishal Karande, Erick Bauman, Zhiqiang Lin, and Latifur Khan, In proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security (ASIA CCS '17), April, 2017, Abu Dhabi, UAE.
  28. Efficient Multistream Classification Using Direct Density Ratio Estimation
    Ahsanul Haque, Swarup Chandra, Latifur Khan Kevin W. Hamlen, Charu C. Aggarwal, In proc. of 33nd IEEE International Conference on Data Engineering (ICDE), ICDE, April 2017, Page: 155-158, San Diego, CA.
  29. APART: Automatic Political Actor Recommendation in Real-time
    Mohiuddin Solaimani, Sayeed Salam, Latifur Khan Patrick T. Brandt, Vito D'Orazio, In proc. of Social, Cultural, and Behavioral Modeling - 10th International Conference, SBP- BRiMS 2017, Washington, DC, USA, July 5-8, 2017, Page: 342-348.
  30. Sampling based Distributed Kernel Mean Matching using Spark
    Ahsanul Haque, Zhuoyi Wang, Swarup Chandra, Latifur Khan, and Charu C. Aggarwal, In proc. of 2016 IEEE International Conference on Big Data (IEEE BigData 2016), Dec 2016, Washington DC.
  31. Efficient Sampling-Based Kernel Mean Matching
    Swarup Chandra, Ahsanul Haque, Latifur Khan, and Charu C Aggarwal, In proc. of IEEE International Conference on Data Mining (ICDM), Barcelona, Dec 2016.
  32. An Adaptive Framework for Multistream Classification
    Swarup Chandra, Ahsanul Haque, Latifur Khan and Charu Aggarwal, In proc. of the 25th ACM International Conference on Information and Knowledge Management (CIKM), Indianapolis, Oct 2016.
  33. Adaptive Encrypted Traffic Fingerprinting With Bidirectional Dependence
    Khaled Al-Naami, Swarup Chandra, Ahmad Mustafa, Latifur Khan Zhiqiang Lin, Kevin W. Hamlen, and Bhavani M. Thuraisingham, In proc. of 2016 Annual Computer Security Applications Conference (ACSAC)'16, December 05-09, 2016, Los Angeles, CA, USA.
  34. SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream
    Ahsanul Haque, Latifur Khan, and Michael Baron, In proc. of Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), February 12–17, 2016, Phoenix, Arizona.
  35. Efficient Semi-Supervised Adaptive Classification and Novel Class Detection over Data Stream
    Ahsanul Haque, Latifur Khan, Michael Baron, and Charu C. Aggarwal, In proc. of 32nd IEEE International Conference on Data Engineering (ICDE), May 16-20, 2016 · Helsinki, Finland.
  36. Spark-based Political Event Coding
    ohiuddin Solaimani, Rajeevardhan Gopalan, Latifur Khan, Bhavani M. Thuraisingham, In proc. of the Second IEEE International Conference on Big Data Computing Service and Applications, IEEE BigDataService 2016, March 29 - April 1, 2016, Oxford, UK.
  37. A Comparative Study of Markov Network Structure Learning Methods Over Data Streams
    Swarup Chandra, Vishal Karande, and Latifur Khan, In proc. of 2015 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2015), Cape Town, South Africa, Dec 2015, Page 795-802.
  38. P2V: Effective Website Fingerprinting Using Vector Space Representations
    Khaled Alnaami, Gbadebo Ayoade, Asim Siddiqui, Nicholas Ruozzi, Latifur Khan, Bhavani M. Thuraisingham, In proc. of 2015 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2015), Cape Town, South Africa, Publication Year: 2015, Page(s):59- 66.
  39. Semi Supervised Adaptive Framework for Classifying Evolving Data Stream
    Ahsanul Haque, Latifur Khan, Michael Baron, In proc. of Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Page: 383-394.
  40. Online Prediction of Chess Match Result
    Mohammad M. Masud, Ameera Al-Shehhi, Eiman Al-Shamsi, Shamma Al-Hassani, Asmaa Al-Hamoudi, Latifur Khan, In proc. of Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Page: 525-537.
  41. Detecting and Tracking Emerging Concept Classes in Non-Stationary Data Streams
    Brandon Parker, Latifur Khan, In proc. of Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), Austin, TX, 2015 (acceptance rate 26.67%).
  42. Distributed Adaptive Importance Sampling on Graphical Models Using MapReduce
    Ahsanul Haque, Swarup Chandra, Latifur Khan and Charu C. Aggarwal, 2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington DC, USA.
  43. Stream Mining using Statistical Relational Learning
    Swarup Chandra, Justin Sahs, Latifur Khan, Bhavani M. Thuraisingham and Charu C. Aggarwal, 2014 IEEE International Conference of Data Mining (ICDM 2014), Shenzhen, China.
  44. Spark-based Anomaly Detection Over Multi-source VMware Performance Data In Real-time
    Mohiuddin Solaimani, Mohammed Iftekhar, Latifur Khan Bhavani M. Thuraisingham, and Joey Burton Ingram, In proc. of the IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014), Orlando, Florida, USA.
  45. Statistical Technique for Online Anomaly Detection Using Spark Over Heterogeneous Data from Multi-source VMware Performance Data
    Mohiuddin Solaimani, Mohammed Iftekhar, Latifur Khan and Bhavani M. Thuraisingham, In proc. of IEEE International Conference on Big Data 2014 (IEEE BigData 2014), Washington DC, USA.
  46. Evolving Stream Classification using Change Detection
    Ahmad Mustafa, Ahsanul Haque, Latifur Khan, Michael Baron, Bhavani M.Thuraisingham, In proc of 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), October, 2014, Miami, Florida (invited paper).
  47. Evolving Big Data Stream Classification with MapReduce
    Ahsanul Haque, Brandon Parker, Latifur Khan and Bhavani M. Thuraisingham, In proc. 7th IEEE International Conference on Cloud Computing (IEEE CLOUD 2014), Alaska, USA.
  48. GISQF: An Efficient Spatial Query Processing System
    Khaled Mohammed Al-Naami, Sadi Evren Seker and Latifur Khan, In proc. of 7th IEEE International Conference on Cloud Computing (IEEE CLOUD 2014), June 27 - July 2, 2014, Alaska, USA.
  49. FSBD: A Framework for Scheduling of Big Data Mining in Cloud Computing
    Leila Ismail, Mohammad M. Masud, and Latifur Khan, BigData Congress 2014: 514-521
  50. Calculating Edit Distance for Large Sets of String Pairs using MapReduce
    Shagun Jhaver, Latifur Khan, In proc. of Second ASE International Conference on Big Data Science and Computing (BigDataScience) - Stanford, CA, USA, May 27 - May 31, 2014.
  51. GISQF: An Efficient Spatial Query Processing System
    Khaled M. Al-Naami, Sadi E. Seker, and Latifur Khan, In proc. 7th IEEE International Conference on Cloud Computing, June 27 - July 2, 2014, Alaska, USA.
  52. SMV-Hunter: Large Scale, Automated Detection of SSL/TLS Man-in-the-Middle Vulnerabilities in Android Apps
    David Sounthiraraj, Justin Sahs, Zhiqiang Lin, Latifur Khan, and Garrett Greenwood, NDSS 2014.
  53. Host-Based Anomalous Behavior Detection Using Cluster-Level Markov Networks
    Ahmad Mustafa, Mohiuddin Solaimani, Latifur Khan Ken Chiang and Joe Ingram, In proc. of Tenth Annual IFIP WG 11.9 International Conference on Digital Forensics, Vienna, Austria, January 8–10, 2014.
  54. Real-time Anomaly Detection Over VMware Performance Data Using Storm
    Mohiuddin Solaimani, Latifur Khan and Bhavani Thuraisingham, In proc. of the 16th IEEE International Conference on Information Reuse and Integration, SanFrancisco, CA.
  55. RFID Based Biometrics Analysis Over Cloud
    Faisal Rahman, Mohiuddin Solaimani, Latifur Khan, Workshop on Data Science for Social Good in conjunction with ACM KDD 2014, NY, August, 2014.
  56. Intelligent MapReduce Based Framework for Labeling Instances in Evolving Data Stream
    Ahsanul Haque, Brandon Parker, Latifur Khan and Bhavani Thuraisingham, In proc. of IEEE Third International Conference on Cloud Computing Technology and Science (CloudCom), Bristol, UK, 2-5 Dec. 2013.
  57. Host-based Anomaly Detection Using Learning Techniques
    Ahmad Mustafa, Mohiuddin Solaimani, Latifur Khan Ken Chiang and Joe Ingram, PhD Student Forum, in conjunction with ICDM '13: The 13th IEEE International Conference on Data Mining, December, 2013, Dallas, Texas, USA.
  58. MapReduce based Frameworks for Classifying Evolving Data Stream
    Ahsanul Haque, Latifur Khan, PhD Student Forum in conjunction with ICDM '13: The 13th IEEE International Conference on Data Mining, December, 2013, Dallas, Texas, USA.
  59. Rapidly Labeling and Tracking Dynamically Evolving Concepts In Data Streams
    Brandon Parker and Latifur Khan, PhD Student Forum in conjunction with ICDM '13: The 13th IEEE International Conference on Data Mining, December, 2013, Dallas, Texas, USA.
  60. Map Reduce Guided Scalable Compressed Dictionary Construction for Repetitive Sequences
    Pallabi Parveen, Bhavani M. Thuraisingham, and Latifur Khan, In proc. of 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), October 20–23, 2013 Austin, Texas.
  61. Labeling Instances in Evolving Data Streams with MapReduce
    Ahsanul Haque, Brandom Parker, Latifur Khan, In proc. of IEEE BigData Congress 2013, Santa Clara, CA: 387-394.
  62. Behavioral sequence prediction for evolving data stream
    Sheikh M. Qumruzzaman, Latifur Khan Bhavani M. Thuraisingham, In proc. of IEEE Information Reuse and Integration (IRI), San Francisco, California, 2013: 482- 488.
  63. Author attribution on streaming data
    Sadi E. Seker, Khaled Al-Naami, Latifur Khan, In proc. of IEEE Information Reuse and Integration (IRI), San Francisco, California, 2013: 497- 503.
  64. Predicted probability enhancement for multi-label text classification using class label pair association
    Salim Ahmed, Shourav Jain, Fahad Bin Muhaya, and Latifur Khan, In proc. of 4th IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013), Singapore, April 2013.
  65. MapReduce Guided Approximate Inference Over Graphical Models
    Ahsanul Haque, Swarup Chandra, Latifur Khan, and Michael Baron, 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014), Orlando, Florida, USA.
  66. A Systematic Study of the Covert-Channel Attacks in Smartphones
    Swarup Chandra, Zhiqiang Lin, Ashish Kundu and Latifur Khan, 2014 10th International Conference on Security and Privacy in Communication Networks (SecureComm 2014), Beijing, China.
  67. Cause Identification from Aviation Safety Incident Reports via Weakly Supervised Semantic Lexicon Construction
    Muhammad Arshad Ul Abedin, Vincent Ng, Latifur Khan, CoRR abs/1401.4436 (2014).
  68. Statistical Technique for Online Anomaly Detection Using Spark Over Heterogeneous Data from Multi-source VMware Performance Data
    M. Solaimani, M. Iftekhar, Latifur Khan, and Bhavani M. Thuraisingham, in the IEEE International Conference on Big Data 2014 (IEEE BigData 2014), Washington DC, USA.
  69. Recurring and Novel Class Detection using Class-Based Ensemble
    Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, and Jiawei Han, In proc. of IEEE International Conference on Data Mining, 2012, Belgium, Dec 2012 (acceptance rate 11%).
  70. Novel Class Detection and Feature via a Tiered Ensemble Approach for Stream Mining 
    Brandon S Parker, Ahmad Mustafa, Latifur Khan , 24th IEEE International Conference on Tools with Artificial Intelligence, November 7-9, 2012, Athens, Greece.
  71. Unsupervised Ensemble based Learning for Insider Threat Detection
    Pallabi Parveen, Nate McDaniel, Bhavani M. Thuraisingham, Latifur Khan, Proc. of 4th IEEE International Conference on Information Privacy, Security, Risk and Trust (PASSAT), Amsterdam, Netherlands, September 2012.
  72. A Machine Learning Approach to Android Malware Detection
    Justin Sahs, Latifur Khan, 2012 European Intelligence and Security Informatics Conference, EISIC 2012, Odense, Denmark, August 22-24, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-2358-1 EISIC 2012: 141-147.
  73. Measuring Relatedness and Augmentation of Information of Interest within Free Text Law Enforcement Documents. 2012 European Intelligence and Security
    James R. (Bob) Johnson, Anita Miller, Latifur Khan, Bhavani M. Thuraisingham, Informatics Conference, EISIC 2012, Odense, Denmark, August 22-24, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-2358-1 EISIC 2012: 148-155.
  74. Cloud Guided Stream Classification Using Class-Based Ensemble
    Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan,, Bhavani M. Thuraisingham, IEEE CLOUD 2012: 694-701.
  75. Secure information integration with a semantic web-based framework
    Pranav Parikh, Murat Kantarcioglu, Vaibhav Khadilkar, Bhavani M. Thuraisingham, Latifur KhanIRI 2012: 659-663.
  76. Extracting semantic information structures from free text law enforcement data
    James R. Johnson, Anita Miller, Latifur Khan, Bhavani M. Thuraisingham, Intelligence and Security Informatics (ISI), 2012 IEEE International Conference on Digital Object Identifier: 10.1109/ISI.2012.6284291, Publication Year: 2012 , Page(s): 177 - 179.
  77. Cloud-Centric Assured Information Sharing
    Bhavani M. Thuraisingham, Vaibhav Khadilkar, Jyothsna Rachapalli, Tyrone Cadenhead, Murat Kantarcioglu, Kevin W. Hamlen, Latifur Khan, Mohammad Farhan Husain, PAISI 2012: 1-26.
  78. Detecting Recurring and Novel Classes in Concept-Drifting Data Streams
    Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan,Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham, Proc. of 11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011, Page: 1176-1181 (acceptance rate 18%).
  79. Supervised Learning for Insider Threat Detection Using Stream Mining
    Pallabi Parveen, Zackary R. Weger, Bhavani M. Thuraisingham, Kevin W. Hamlen, Latifur Khan, Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence, Nov. 7-9, 2011, Boca Raton, Florida, USA (Best Paper Award) (acceptance rate 30%).
  80. Insider Threat Detection using Stream Mining and Graph Mining
    Pallabi Parveen, Jonathan Evans, Bhavani M. Thuraisingham, Kevin W. Hamlen, Latifur Khan, Proceedings of the 3rd IEEE Conference on Privacy, Security, Risk and Trust (PASSAT), October 9-12, 2011, MIT, Boston, USA. (acceptance rate 11%).
  81. Estimating Twitter User Location Using Social Interactions-A Content Based Approach
    Swarup Chandra, Latifur Khan, Proc. of the Third IEEE International Conference on Social Computing (SocialCom-2011), October 9-12, 2011, MIT, Boston, USA.SocialCom/PASSAT 2011: 838-843.
  82. Subjectivity classification and analysis of the ASRS corpus
    Jason Switzer, Latifur Khan, Proc. of 2011 IEEE 12th International Conference on Information Reuse & Integration (IRI), Las Vegas, NV, Page: 160-165.
  83. Pseudo-Label Generation for Multi-Label Text Classification.
    Mohammad Salim Ahmed, Latifur Khan , Nikunj C. Oza, Proceedings of the 2011 Conference on Intelligent Data Understanding, CIDU 2011, October 19-21, 2011, Mountain View, California, USA. NASA Ames Research Center 2011.
  84. Law Enforcement Ontology for Identification of Related Information of Interest Across Free Text Documents
    James R. (Bob) Johnson, Anita Miller, Latifur Khan, Proc. of European Intelligence and Security Informatics Conference, EISIC 2011, Athens, Greece, September 12-14, 2011. IEEE 2011, ISBN 978-1-4577-1464-1.
  85. Content-Based Geospatial Schema Matching Using Semi-supervised Geo semantic Clustering and Hierarchy
    Jeffrey Partyka and Latifur Khan, Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), Palo Alto, CA, USA, September 18-21, 2011. IEEE 2011, ICSC 2011: 247-254.
  86. Scalable queries for large datasets using cloud computing: a case study
    James P. McGlothlin, Latifur Khan . Proc. of IDEAS 2011: 15th International Database Engineering & Applications Symposium, Lisbon, Portugal: 8-16.
  87. Ontology-Driven Query Expansion Using Map/Reduce Framework to Facilitate Federated Queries
    Neda Alipanah, Pallabi Parveen, Latifur Khan , Bhavani M. Thuraisingham, Proc. of IEEE ICWS 2011: 9th International Conference on Web Services, Washington DC, July 20122, Page: 712-713
  88. Learning Cause Identifiers with Fine-Grained Annotations
    Muhammad Abedin, Vincent Ng, and Latifur Khan, Proc. of 22nd International Joint Conference on Artificial Intelligence (IJCAI-11), Barcelona, Spain, July 16-18, 2011. (Acceptance rate: 15.7%).
  89. Scalable Complex Query Processing Over Large Semantic Web Data Using cloud
    Mohammad Husain, James McGlothlin, Latifur Khan and Bhavani M. Thuraisingham, Proc. of the Fourth IEEE International Conference on Cloud Computing (CLOUD 2011), July 4-9, 2011, Washington DC, USA. (acceptance rate 18%).
  90. Addressing Concept-Evolution in Concept-Drifting Data Streams
    Mohammad Masud, Qing Chen, Latifur Khan , Charu C. Aggarwal, JingGao, Jiawei Han, and Bhavani M. Thuraisingham, In Proc. of 2010 10th IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia, Dec 2010. (Acceptance Rate: 19.4%).
  91. Multimodal Concept Fusion using Semantic Closeness for Image Concept Disambiguation
    Ahmad Adel Abu-Shareha, Mandava Rajeswari, Latifur Khan, Dhanesh Ramachandram, 2010. Proceedings of the 2010 International Workshop on Advanced Future Multimedia Services (AFMS 2010). Gwangju, Korea, 9-11 December 2010. (Best Paper Award).
  92. Ontology-driven Query Expansion Methods to Facilitate Federated Queries
     Neda Alipanah, P. Parveen, Latifur Khan , Bhavani Thuraisingham, In Proc. of IEEE International Conference on Service-Oriented Computing and Applications (SOCA'10), Page 1-8, Perth, Australia, Dec. 2010.
  93. A Token-Based Access Control System for RDF Data in the Clouds
    Arindham Khaled, Mohammad Husain, Latifur Khan , Kevin Hamlen, Bhavani M. Thuraisingham, In Proc. of 2nd IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2010), Indianapolis November - December 2010. (Acceptance Rate: 25%).
  94. Using Correlation Based Subspace Clustering For Multi-label Text Data Classification
    Mohammad Salim Ahmed, Latifur Khan , Mandava Rajeswari, In Proc. of 22th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2010), Page: 296-303, October 27 - 29, 2010, Arras, France.
  95. Bi-directional Translation of Relational Data into Virtual RDF Stores
    Sunitha Ramanujam, Vaibhav Khadilkar, Latifur Khan , Steven Seida, Murat Kantarcioglu, Bhavani Thuraisingham, In Proc. of Fourth IEEE International Conference on Semantic Computing (IEEE ICSC2010), September 22 - 24, 2010, Carnegie Mellon University, Pittsburgh, PA, USA. (Acceptance Rate = 32%).
  96. A Semantic Web Repository for Managing and Querying Aligned Knowledge
    James McGlothlin, and Latifur Khan , In Proceedings of the International Semantic Web Conference (ISWC) (poster paper), China, Nov 2010.
  97. Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering
    Mohammad Salim Ahmed, Latifur Khan , Nikunj Oza, Mandava Rajeswari, In Proc. of NASA Conference on Intelligent Data Understanding (CIDU 2010), Computer History Museum, Mountain View, CA, October 5 - 6, 2010.
  98. Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space
    Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham In Proc. of European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2010, Barcelona, Spain, September 20 - 24, 2010, Springer 2010, ISBN 978-3-642-15882-7, Page: 337-352. (Acceptance Rate: 18.2%).
  99. TweetHood: Agglomerative Clustering on Fuzzy k-Closest Friends with Variable Depth for Location Mining
    Satyen Abrol, Latifur Khan, In Proc. of the Second IEEE International Conference on Social Computing (SocialCom-2010), Minneapolis, USA, August 20-22, 2010 (Acceptance Rate: 13%) (Nominated for best paper award)<>.
  100. Materializing and Persisting Inferred and Uncertain Knowledge in RDF Datasets
    James McGlothlin and Latifur Khan In Proc. of Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10), Atlanta, Georgia, USA, July 2010. (Acceptance Rate: 26.9%).
  101. Data Intensive Query Processing for Large RDF Graphs Using Cloud Computing Tools
    Mohammad Husain, Latifur Khan, Bhavani M. Thuraisingham and Murat Kantarcioglu In Proc of 2010 IEEE 3rd International Conference on Cloud Computing (CLOUD 2010), Page 1 - 10, Miami, Florida, USA, July 2010. (Acceptance Rate 20%).
  102. Tweets mining using WIKIPEDIA and impurity cluster measurement
    Qing Chen, Timothy Shipper, Latifur Khan, In Proc. of IEEE International Conference on Intelligence and Security Informatics, ISI 2010, Vancouver, BC, Canada, May 23-26, 2010, Page: 141-143.
  103. Classification and Novel Class Detection in Data Streams with Active Mining 
    Mohammad M. Masud, Jing Gao, Latifur Khan , Jiawei Han, and Bhavani M. Thuraisingham, In Proc. of 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 21-24 June, 2010, Page 311-324, - Hyderabad, India. (Acceptance Rate: 10.2%).
  104. A Data Intensive Multi-chunk Ensemble Technique to Classify Stream Data Using Map-Reduce Framework
    Tahseen Al-Khateeb, Mohammad Salim Ahmed, Mohammad Masud and Latifur Khan, In Proc. of SIAM Data Mining 2010 Workshop on High Performance Analytics, Algorithms, Implementations, and Applications 2010, Columbus, Ohio, USA.
  105. TWinner: Understanding News Queries With Geo-Content Using Twitter
    Satyen Abrol and Latifur Khan, In Proc. of 6th Workshop on Geographic Information Retrieval (GIR'10) at Zurich, Switzerland, February, 2010 (Acceptance Rate: 71%).
  106. Storage and Retrieval of Large RDF Graph Using Hadoop and MapReduce
    Mohammad Husain, Pankil Doshi, Latifur Khan, Bhavani M. Thuraisingham, In Proc. of International Conference on Cloud Computing Technology and Science (Cloudcom 2009), Beijing, China, 2009, pp. 680-686.
  107. SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering
    Mohammad Ahmed, and Latifur Khan, In Proc. of DDDM'09, the 3rd International Workshop on Domain Driven Data Mining in conjunction with ICDM'09, Miami, Florida, USA. (Acceptance Rate: 26.9%).
  108. Geographically-typed semantic schema matching
    Jeffrey Partyka, Latifur Khan, Bhavani M. Thuraisingham, In Proc. of 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2009), Page 456-459, Seattle, Washington, November, 2009. (Acceptance Rate: 36%).
  109. MapIt: Smarter Searches using Location Driven Knowledge Discovery and Mining
    Satyen Abrol, Latifur Khan, Tahseen Al-khateeb, In Proc. of 1st SIGSPATIAL ACM GIS 2009 International Workshop on Querying and Mining Uncertain Spatio-Temporal Data (QUeST 2009) in conjunction with ACM GIS 2009, Seattle, Washington, November, 2009.
  110. R2D: A Bridge between the Semantic Web and Relational Visualization Tools
    Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida and Bhavani M. Thuraisingham, In Proc. of Third IEEE International Conference on Semantic Computing, Page 303-311, Berkeley, CA, USA, September 14-16, 2009. (Acceptance Rate = 30%).
  111. RDFKB: Efficient Support For RDF Inference Queries and Knowledge Management
    James Mcglothlin, and Latifur Khan, In Proc. of International Database Engineering & Applications Symposium (IDEAS), Page 259-266, Cetraro (Calabria), Italy, 16-18, September 2009. (Acceptance Rate: 24.6%).
  112. Lacking Labels In The Stream: Classifying Evolving Stream Data With Few Labels
    Clay Woolam, Mohammed Masud, and Latifur Khan, In Proc. of 18th International Symposium on Methodologies for Intelligent Systems (ISMIS), Page 552-562, September 2009 Prague, Czech Republic. (Acceptance Rate: 54%).
  113. R2D: Extracting relational structure from RDF stores 
    Sunitha Ramanujam, Anubha Gupta, Latifur Khan Steven Seida, Bhavani M. Thuraisingham, In Proc. of ACM/IEEE International Conference on Web Intelligence, Page 361-366, September, 2009, Milan, Italy. (Acceptance Rate = 18%).
  114. Semantic Schema Matching Without Shared Instances
    Jeff Partyka, Neda Alipanah, Latifur Khan, Bhavani M. Thuraisingham, In Proc. of Third IEEE International Conference on Semantic Computing, Page 297-302, Berkeley, CA, USA, September 14-16, 2009. (Acceptance Rate = 30%)
  115. Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams
    Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani M Thuraisingham, In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Page 79-94, Bled, Slovenia, September 7-11, 2009. (Acceptance Rate: 24.9%).
  116. A Relational Wrapper for RDF Reification
    Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida and Bhavani M. Thuraisingham, Proc. of Third IFIP WG 11.11 International Conference on Trust Management (IFIPTM), West Lafayette, USA, June 15-19, 2009.
  117. Relationalizing RDF stores for tools reusability
    Sunitha Ramanujam, Anubha Gupta, Latifur Khan, Steven Seida, Bhavani M. Thuraisingham, In Proc. of 18th International Conference on World Wide Web, WWW 2009, Madrid, Spain, April 20-24, 2009, Page: 1059-1060 (Nominated for Best Poster Paper Award). (Acceptance Rate =10%).
  118. A Multi-Partition Multi-Chunk Ensemble Technique to Classify Concept-Drifting Data Streams
    Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani M. Thuraisingham, In Proc. of 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), Page: 363-375, Bangkok, Thailand, April 2009. (Acceptance Rate: 11.5%).
  119. Real-Time Knowledge Discovery and Dissemination for Intelligence Analysis
    Bhavani M. Thuraisingham, Latifur Khan, Murat Kantarcioglu, Sonia Chib, Jiawei Han, Sang Son, In Proc. of 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), January 2009, Waikoloa, Big Island, HI, USA.
  120. A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data
    Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani M. Thuraisingham, In Proc. of 2008 IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, Page 929-934, December, 2008. (Acceptance Rate: 19.9%).
  121. Multi-concept Document Classification using a Perceptron-like Algorithm
    Clay Woolam, Latifur Khan, In Proc. of 2008 IEEE/WIC/ACM International Conference on Web Intelligence, Sydney, Australia, Page 570-574, December, 2008. (Acceptance Rate = 20%).
  122. An Effective Evidence Theory based K-nearest Neighbor(KNN) classification
    Lei Wang, Latifur Khan, and Bhavani M. Thuraisingham, In Proc. of 2008 IEEE/WIC/ACM International Conference on Web Intelligence, Sydney, Australia, Page 797-801, December, 2008. (Acceptance Rate = 20%).
  123. Content-based Ontology Matching for GIS Datasets
    Jeffrey Partyka, Neda Alipanah, Latifur Khan, Bhavani M. Thuraisingham, and Shashi Shekhar, In Proc. of 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2008), Page 407-410, Irving, California, November, 2008.
  124. Flow-based Identification of Botnet Traffic by Mining Multiple Log Files
    Mohammad M. Masud, Tahseen Al-khateeb, Latifur Khan, Bhavani M. Thuraisingham, and Kevin W. Hamlen, In Proc. of the International Conference on Distributed Frameworks & Applications (DFMA'08), Penang, Malaysia, Oct 21-22, 2008, pp 200-206.
  125. Ontology Alignment Using Multiple Contexts
    Jeffrey Partyka, Neda Alipanah, Latifur Khan, Bhavani M. Thuraisingham, Shashi Shekhar, In Proc. of International Semantic Web Conference (Posters & Demos), Karlsruhe, Germany, October, 2008.
  126. Software Fault Localization Using N-gram Analysis
    Syeda Nessa, Muhammad Abedin, W. Eric Wong, Latifur Khan, and Yu Qi, In Proc. of Third International Conference on Wireless Algorithms, Systems, and Applications, (WASA 2008), Page 548-559, Dallas, TX, USA, October 2008, Springer ISBN 978-3-540-88581-8.
  127. The Randomized Approximating Graph Algorithm for Image Annotation Refinement Problem
    Yohan Jin, Kibum Jin, Latifur Khan, Balakrishnan Prabhakaran, Workshop on Semantic Learning Applications in Multimedia in conjunction with 2008 IEEE Conference on Computer Vision and Pattern Recognition, Alaska, July 2008 (Best Paper Award).
  128. Privacy/Analysis Tradeoffs in Sharing Anonymized Packet Traces: Single-Field Case
    Bill Yurcik, Clay Woolam, Greg Hellings, Latifur Khan, and Bhavani M. Thuraisingham, In Proc. of ARES 2008 - The International Security and Dependability Conference, March 2008, Page 237-244, Barcelona, Spain. (Acceptance Rate: 21%).
  129. Making Quantitative Measurements of Privacy/Analysis Tradeoffs Inherent to Packet Trace Anonymization
    Bill Yurcik, Clay Woolam, Greg Hellings, Latifur Khan, and Bhavani M. Thuraisingham, In Proc. of Financial Cryptography, Cozumel, Mexico, January 2008, Page 323-324.
  130. A Novel Quantitative Approach For Measuring Network Security
    Mohammad Salim Ahmed, Ehab Al-Shaer, Latifur Khan, In Proc. of Infocom Mini Conference, April 2008, Pheonix, AZ. (Acceptance Rate: 9.3%).
  131. Towards Autonomic Risk-aware Security Configuration
    Mohammad Salim Ahmed, Ehab Al-Shaer, Mohamed Mahmoud Taibah, Muhammad Abedin, Latifur Khan, In Proc. of IEEE/IFIP Network Operations and Management Symposium (NOMS), Page 722-725, April 2008, Bahia, Brazil. (Acceptance Rate: 29%).
  132. Geospatial Resource Description Framework (GRDF) and Security Constructs
    Ashraful Alam, Latifur Khan, and Bhavani M. Thuraisingham, In Proc. of First International Workshop on Secure Semantic Web (SSW'08) in conjunction with the 24th International Conference on Data Engineering (ICDE'08) April 7 - 12, 2008, Cancun, Mexico, Page 475-481.
  133. Ontology based Policy Interoperability in Geo-Spatial Domain 
    Mohammad Husain, Mohammad Alam, Latifur Khan, In Proc. of First International Workshop on Secure Semantic Web (SSW'08) in conjunction with the 24th International Conference on Data Engineering (ICDE'08) April 7 - 12, 2008, Cancun, Mexico, Page 482-489.
  134. SCRUB-tcpdump: A Software Tool for Multi-Field Multi-Level Packet Trace Anonymization
    Bill Yurcik, Clay Woolam, Greg Hellings, Latifur Khan, and Bhavani Thuraisingham In Proc. of IEEE/IFIP Network Operations and Management Symposium (NOMS), Page 630-644, Salvador daBahia, Brazil, April 2008. (Acceptance Rate: 29%).
  135. A Data Mining Technique to Detect Remote Exploits 
    Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham, Xinran Wang, Peng Liu and Sencun Zhu, In Proc. of the Fourth Annual IFIP WG 11.9 International Conference on Digital Forensics, Japan, January 27 - 30, 2008, Page 177 - 189. (Acceptance Rate: 67%).
  136. Geospatial data qualities as web services performance metrics
    Ganesh Subbiah, Ashraful Alam, Latifur Khan, and Bhavani M. Thuraisingham, In Proc. of 15th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2008), Page 407-410, Seattle, Washington, November, 2007. (Acceptance Rate 28.7%).
  137. DAGIS: A Geospatial Semantic Web Services Discovery and Selection Framework
    Ashraful Alam, Ganesh Subbiah, Latifur Khan, Bhavani M. Thuraisingham, Proc. of GeoSpatial Semantics, Second International Conference, GeoS 2007, Mexico City, Mexico, November 29 - 30, 2007, Proceedings. Lecture Notes in Computer Science 4853 Springer 2007, ISBN 978-3-540-76875-3, Page 268 - 277. (Acceptance Rate: 54%).
  138. Geospatial Data Mining for National Security Land Cover Classification and Grouping for Semantic Assessment
    Chuanjun Li, Latifur Khan, Bhavani Thuraisingham, Mohammad Hussain, Shaofei Chen, and Fang Qiu, Proc. of ISI 2007 Intelligence and Security Informatics 2007, New Jersey, May 2007, Page 254 - 261.
  139. Feature based Techniques for Auto-detection of Novel Email Worms
    Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham, Proc. of 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007), Nanjing, China, May 2007, LNAI 4426/2007, Page 205 - 216. (Acceptance Rate: 4.7%).
  140. SCRUB-tcpdump: A Multi-Level Packet Anonymizer Demonstrating Privacy/Analysis Tradeoffs
    Bill Yurcik, Clay Woolam, Greg Hellings, Latifur Khan, and Bhavani M. Thuraisingham, Proc. of Third IEEE International Workshop on the Value of Security through Collaboration (SECOVAL), Nice France, September 2007.
  141. Hybrid Model for Auto-Detection of New Malicious Executables
    Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham, In Proc. of 2007 IEEE International Conference on Communications (ICC 2007): Communications QoS, Reliability and Performance Modeling Symposium, Glasgo, UK, June 2007, Page 1443-1448.
  142. Vulnerability Analysis For Evaluating Quality of Protection of Security Policies
    Muhammad Abedin, Syeda Nessa, Ehab Al-Shaer, Latifur Khan, In Proc. of Quality of Protection Workshop with 13th ACM Conference on Computer and Communications Security (CCS-13) Alexandria, Virginia, USA, Virginia, October, 2006.
  143. Reasoning with semantics-aware access control policies for geospatial web services
    Ashraful Alam, Ganesh Subbiah, Bhavani M. Thuraisingam, Latifur Khan, In Proc. of the 3rd ACM workshop on Secure web services in conjunction with 13th ACM Conference on Computer and Communications Security (CCS-13) Alexandria, Virginia, USA, Page: 69 - 76, 2006, ISBN:1-59593-546-0.
  144. A Knowledge-based Approach to Detect New Malicious Executables
    Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham, In Proc. of the Second Secure Knowledge Management Workshop (SKM) 2006, Brooklyn, NY, USA, September 2006.
  145. Improving Image Annotations using Fuzzy Pruning and Association Rule Mining
    Latifur Khan, In Proc. of ACM 7th International Workshop on Multimedia Data Mining (MDM/KDD206) in conjunction with ACM SIGKDD 2006, Page 39 - 48, Philadelphia, August 2006.
  146. Detection and Resolution of Anomalies in Firewall Policy Rules
    Muhammad Abedin, Syeda Nessa, Latifur Khan, Bhavani M. Thuraisingham, In Proc. of 20th IFIP WG 11.3 Working Conference on Data and Applications Security (DBSec 2006), Springer-Verlag, July 2006, SAP Labs,SophiaAntipolis, France, Page 15 - 29. (Acceptance Rate: 39%).
  147. Access control, confidentiality and privacy for video surveillance databases
    Bhavani M. Thuraisingham, Gal Lavee, Elisa Bertino, Jianping Fan, and Latifur Khan, In Proc. of SACMAT 2006,11th ACM Symposium on Access Control Models and Technologies, Lake Tahoe, California, USA, June 7-9, 2006, Proceedings. ACM 2006, ISBN 1-59593-353-0, Page: 1-10. (Acceptance Rate: 30%).
  148. Email Worm Detection Using Naive Bayes and Support Vector Machine
    Mohammad M. Masud, Latifur Khan, Ehab Al-Shaer, In Proc. of ISI 2006 Intelligence and Security Informatics, San Diego, California, Page 733 -734, (May 2006).
  149. Analysis of Firewall Policy Rule Using Data Mining Techniques
    Kororsh Golnabi, Richard Min, Latifur Khan, Al-Shaer Ehab, In Proc. of 2006 IEEE/IFIP Network Operations & Management Symposium, (NOMS 2006), April 2006 (2006), Page 305 - 315, Vancouver, Canada. (Nominated for Best Paper Award) (Acceptance rate: 28.5%).
  150. A Framework for Image Classification
    Mamoun Awad, Yohan Jin, Latiur Khan, George Chen, and Fehmi Chebil, In Proc. of IEEE 2006 Southwest Symposium on Image Analysis and Interpretation, March 2006 (2006), Page 134 - 138, Denver, Colorado, USA.
  151. Image Annotations By Combining Multiple Evidence & WordNet
    Yohan Chin, Latifur Khan, Lei Wang, Mamoun Awad, In Proc. of 13th Annual ACM International Conference on Multimedia (MM 2005), Singapore, November 2005 (2005), Page 706 - 715. (Acceptance Rate: 16%).
  152. Improving Image Annotations using WordNetYohan Chin, Lei Wang, Latifur Khan, In Proc. of International Workshop on Multimedia Information Systems (MIS 2005), Sorrento, Italy, September 2005 (2005), Page 115 - 130. (Acceptance Rate: 50%).
  153. A Framework for a Video Analysis Tool for Suspicious Event Detection
    Gal Lavee, Latifur Khan, and Bhavani M. Thuraisingham, In Proc. of Sixth International Workshop on Multimedia Data Mining in conjunction with KDD 2005: The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, IL, USA, August 2005 (2005), Page 79 - 84.
  154. Message Correlation in Automated Communication Surveillance through Singular Value Decomposition 
    Ryan Layfield, Latifur Khan, Bhavani M. Thuraisingham, In Proc of Sixth International Workshop on Multimedia Data Mining in conjunction with KDD 2005: The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, IL, USA, August 2005 (2005), Page 85 - 88.
  155. Dependable Real-time Data Mining
    Bhavani M. Thuraisingham, Latifur Khan, Chris Clifton, John Maurer, and Marion Ceruti, Invited Paper in 8th IEEE International Symposium on Object-oriented Real-time Distributed Computing, Seattle, Washington, May, 2005 (2005), Page 158 - 165.
  156. A Link-based Privacy Preserving Data Mining Framework
    Li Liu, Latifur Khan, Bhavani M. Thuraisingham, and Chris Clifton, In Proc. of 2005 South Central Information Security Symposium (SCISS '05), Austin, Texas, April 2005 (2005), Page 16.
  157. Link Analysis of Social Activity and Suspicious Topic Propagation
    Ryan Layfield, Latifur Khan, and Bhavani M. Thuraisingham, In Proc. of 2005 South Central Information Security Symposium (SCISS '05), Austin, Texas, April 2005 (2005), Page 17.
  158. Suspicious Event Detection in Surveillance Video
    Gal Lavee, Lei Wang, Latifur Khan, Bhavani M. Thuraisingham, In Proc. of 2005 South Central Information Security Symposium (SCISS '05), Austin, Texas, April 2005 (2005), Page 18.
  159. Automatic Image Annotation and Retrieval using Weighted Feature Selection
    Lei Wang, Li Liu, Latifur Khan, Weili Wu, In Proc. of IEEE Sixth International Symposium on Multimedia Software Engineering, Miami, Florida, December 2004 (2004), Page 435-442.
  160. Automatic Image Annotation and Retrieval Using Subspace Clustering Algorithm
    Lei Wang, Li Liu, Latifur Khan, In Proc. of 2nd ACM International Workshop on Multimedia Databases, Arlington, Virginia, November 2004 (2004), Page 100-108. (Acceptance Rate: 39%).
  161. An Effective Support Vector Machines (SVM) Performance using Hierarchical Clustering
    Mamoun Awad, Latifur Khan , Farokh Bastani, I-Ling Yen, In Proc. of the 16th IEEE International Conference on Tools with Artificial Intelligence, Boca Raton, Florida, November 2004 (2004), Page 663-667. (Acceptance Rate: 30%).
  162. Automated Test Data Generation Using MEA-Graph Planning
    Manish Gupta, Farokh B. Bastani, Latifur Khanand I-Ling Yen, In Proc. of the 16th IEEE International Conference on Tools with Artificial Intelligence, Boca Raton, Florida, November 2004 (2004), Page 174-182. (Acceptance Rate: 30%).
  163. Real-time Classification of Multivariate Motion Data Using Support Vector Machines
    Chuanjun Li, Punit R. Kulkarni, Li Liu, B. Prabhakaran, Latifur Khan, In Proc. of ACM SIGKDD 5th International Workshop on Multimedia Data Mining, Seattle, Washington, August 2004 (2004), Page 1-7.
  164. A Framework for Image Annotation Using Semantic Web 
    Ahmed Bashir, Latifur Khan, In Proc. of ACM SIGKDD First International Workshop on Mining for and from the Semantic Web (MSW 2004), Seattle, Washington, August 2004 (2004).
  165. Effective Intrusion Detection Using Support Vector Machines
    Latifur Khan, Mamoun Awad, Qing Chen, In Proc. of 2004 South Central Information Security Symposium (SCISS), Rice University, Houston, Texas, April 2004 (2004), Page 8.
  166. Hybrid DNA Sequence Similarity Scheme for Training Support Vector Machines
    Mamoun Awad, Latifur Khan, In Proc. of the International Conference on Computer and Information Technology, Dhaka, Bangladesh, December 2003 (2003), Page 247-251. (Acceptance Rate: 55%).
  167. Automatic Software Clustering Based On a New Hierarchical Algorithm
    Lei Wang, Latifur Khan, I-Ling Yen, In Proc. of international Workshop on Multimedia Data and Document Engineering (MDDE), Berlin, Germany, September 2003.
  168. A New Hierarchical Approach for Image Clustering
    Lei Wang, Mohammad Bayan, Latifur Khan, and Vijay Rao, In Proc. of ACM SIGKDD 4th International Workshop on Multimedia Data Mining, Washington DC, August 2003 (2003), Page 72 - 79.
  169. Hierarchical Clustering of Gene Microarray Expression Data
    Feng Luo, Kun Tang, Latifur Khan, In Proc. of Workshop on Clustering High Dimensional Data and its Applications in Conjunction with the Third SIAM International Conference on Data Mining (SDM 2003), San Francisco, CA, May 2003 (2003), Page 6 - 17.
  170. Intrusion Detection Using Clustering Approaches
    Latifur Khan, In Proc. of The South Central Information Security Symposium, SCISS, University of North Texas, Denton, Texas, April 2003 (2003), Page 3.
  171. Hierarchical Clustering of Gene Expression Data
    Feng Luo, Kun Tang, Latifur Khan, In Proc. of 3rd IEEE International Symposium on Bio-informatics and Bioengineering, Bethesda, Maryland, March 2003 (2003), Page 328 - 335. (Acceptance Rate: 44%).
  172. Ontology Construction for Information Selection
    Latifur Khan, Feng Luo, In Proc. of 14th IEEE International Conference on Tools with Artificial Intelligence, Washington DC, November 2002 (2002), Page 122 - 127. (Acceptance Rate: 60%).
  173. Automatic Ontology Derivation Using Clustering for Image Classification
    Latifur Khan and Lei Wang, In Proc. of Eighth International Workshop on Multimedia Information Systems, Tempe, Arizona, October 2002 (2002), Page 56 - 65.
  174. Effective Management of Location Dependent Continuous Queries in Mobile Environment
    Latifur Khan, Manish Gupta In, Proc of IEEE DEXA Fifth International Workshop on Mobility in Databases and Distributed Systems, Aix-en-Provence, France, September 2002 (2002), Page 705 - 709. (Acceptance Rate: 57%).
  175. Ontology-based Image Classification Using Neural Networks
    Casey Breen, Latifur Khan, Arun Ponnusamy, Lei Wang, In Proc. of SPIE Internet Multimedia Management Systems III, Boston, MA, July 2002 (2002), Page 198 - 208.
  176. Object Boundary Detection for Ontology-based Image Classification
    Lei Wang, Latifur Khan, Casey Breen, In Proc. of Third International Workshop on Multimedia Data Mining in Conjunction with Eighth ACM SIGKDD, Edmonton, Alberta, Canada, July 2002 (2002), Page 51 - 61. (Acceptance Rate: 54%).
  177. Using Blue tooth to Facilitate Communication in a Disaster Relief Scenario
    Mohammad Mirza, Latifur Khan, In Proc. of International Conference on Wireless Networks (ICWN'02), Las Vegas, June 2002 (2002), Page 86 - 96. (Acceptance Rate: 48%).
  178. A Component-based Approach for Embedded Software Development
    I-Ling Yen, J. Goluguri, Farokh Bastani, Latifur Khan John Linn, In Proc. of 5th IEEE International Symposium on Object-oriented Real-time Distributed Computing, Washington, April 2002 (2002), Page 402 - 412.
  179. Change Detection in XML Documents
    Latifur Khan, Yan Rao, In Proc. of the International Conference on Computer and Information Technology, Dhaka, Bangladesh, December 2001 (2001), Page 185 - 189. (Acceptance Rate: 66%).
  180. A Performance Evaluation of Storing XML Data in Relational DBMS
    Latifur Khan Yan Rao, In Proc. of ACM 3rd International Workshop on WEB Information and Data Management (WIDM), Georgia, November 2001 (2001), Page 31 - 37. (Acceptance Rate: 32%).
  181. An On-Line Software Repository for Embedded Systems
    I-Ling Yen, Latifur Khan Balakrishnan Prabhakaran, Farokh Bastani, John Linn, In Proc. of The Thirteenth IEEE International Conference on Tools with Artificial Intelligence, Dallas, TX, November 2001 (2001), Page 314 - 324. (Acceptance Rate: 51%).
  182. Effective Retrieval of Audio Information from Annotated Text Using Ontologies
    Latifur Khan, Dennis McLeod, In Proc. of ACM SIGKDD Workshop on Multimedia Data Mining, Boston, MA, August 2000 (2000), Page 37 - 45. (Acceptance Rate: 51%).
  183. Disambiguation of Annotated Text of Audio using Ontologies
    Latifur Khan Dennis McLeod, In Proc. of ACM SIGKDD Workshop on Text Mining, Boston, MA, August 2000 (2000), Page 99 - 100.
  184. Audio Structuring and Personalized Retrieval Using Ontologies
    Latifur Khan, Dennis McLeod, In Proc. of IEEE Advances in Digital Libraries, Library of Congress, Washington, DC, May 2000 (2000), Page 116 - 126. (Acceptance Rate: 42%).
  185. Improving the Performance of Audio-Based Similarity Queries with Clustering
    Cyrus Shahabi, Mohammad Alshayeji, Ning Jiang, Latifur Khan, In Proc. of ACM First International Workshop on Multimedia Intelligent Storage and Retrieval Management, Orlando, FL, November 1999 (1999).
  186. Structuring and Querying Personalized Audio Using Ontologies
    Latifur Khan, In Proc. of ACM Multimedia, Vol. 2, Orlando, FL, November 1999 (1999), Page 209 - 210. (Acceptance Rate: 38%).
  187. Selective Placement and Replication Strategies for Storing Audio Clips in a Naval Application
    Cyrus Shahabi and Latifur Khan, In Proc. of SPIE Multimedia Storage and Archiving Systems III, Boston, MA, November 1998 (1998), Page 338 - 349.
  188. Run-Time Optimization of Join Queries for Distributed Databases over the Internet
    Cyrus Shahabi, Latifur Khan, Dennis McLeod, Vishal Shah, In Proc. of Communication Networks and Distributed Systems Modeling and Simulation (CNDS), San Francisco, CA, January 1998 (1998).
  189. Improving the Precision of Lexicon-to-Ontology Alignment Algorithms
    Latifur Khan and Eduard Hovy, In Proc. of AMTA/SIG-IL First Workshop on Interlinguas, San Diego, CA, October 1997 (1997).
  1. BiMorphing: A Bi-Directional Bursting Defense Against Website Fingerprinting Attacks",
     Khaled Al-Naami, Amir EL Ghamry, Md Shihabul Islam, Latifur Khan ,Bhavani Thuraisingham, Kevin Hamlen, Mohammed Alrahmawy, Magdi Rashad, to appear in IEEE Transactions on Dependable and Secure Computing (TDSC) Journal.
  2. Classified Enhancement Model for Big Data Storage Reliability Based on Boolean Satisfiability Problem"
    Hong Huang, Latifur Khan to appear in Cluster Computing Journal, Springer
  1. AI and Security Informatics 
    Hsinchun Chen, David B. Skillicorn, Bhavani Thuraisingham, Latifur Khan , Murat Kantarcioglu, and Christopher C. Yang IEEE Intelligent Systems (ISSN 1541-1672), September/October 2010, Page 82-90, IEEE Computer Society.
  2. Emergency Response Applications: Dynamic Plume Modeling and Real-Time Routing
     Pavan Kumar Chitumalla, Douglas Harris, Bhavani M. Thuraisingham, and Latifur Khan IEEE Internet Computing, Vol. 12, No. 1, Page 38-44, January - February 2008.
  3. The 6th International Workshop on Multimedia Data Mining(MDM/KDD2005)
     Fatma Bouali, Latifur Khan and Florent Masseglia SIGKDD Explorations Vol. 7, No. 2, Page 148-150, (December 2005).
  4. The 5th International Workshop on Multimedia Data Mining (MDM/KDD2004)
     Latifur Khan and Valery A. Petrushin ACM SIGKDD Explorations, Vol. 6 No. 2, Page 144-146, (December 2004).
  5. MDM/KDD2003: Multimedia Data Mining
     Valery Petrushin, Anne Kao, and Latifur Khan ACM SIGKDD, Vol. 6 No. 1, Page 106-108, (June 2004).
  6. Ontology-based Information Selection
     Latifur Khan Ph.D. Dissertation, Department of Computer Science, University of Southern California, August 2000 (2000) .
  1. Robust Query Expansion Guided by Ontology Structure and Rank to Facilitate Federated Queries 
    Neda Alipanah, P. Parveen, Latifur Khan, Bhavani Thuraisingham IEEE Transactions on Services Computing (TSC) Journal, Jan. 2011.
  2. Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering 
    Mohammad Salim Ahmed, Latifur Khan, Nikunj Oza, Mandava Rajeswari Statistical Analysis and Data Mining journal (the official journal of ASA) (under 2nd round review) - Invited paper from NASA Conference on Intelligent Data Understanding (CIDU 2010), Mountain View, California.

Published

  1. "Multimedia Data Mining and Knowledge Discovery"
     Editors: Valery Petrushin and Latifur Khan Springer, ISBN 1-84628-436-8, 2006.
  2. "Design and Implementation of Data Mining Tools" 
    by Mamoun Awad, Latifur Khan, Bhavani Thuraisingham and Lei Wang (Hardcover - April 20, 2009), 272 page, Auerbach Publications; June 18, 2009, CRC Press.
  3. Data Mining Tools for Malware Detection" 
    by Mehedy Masud, Latifur Khan, Bhavani Thuraisingham (Hardcover) CRC Press, Taylor and Francis

Published

  1. Privacy and Security Challenges in Geospatial Information Systems 
    Bhavani Thuraisingham, Latifur Khan , Ganesh Subbiah, Ashraful Alam and Murat Kantarcioglu Encyclopedia of Geographical Information Science, Editor: Shashi Shekhar and Hui Xiong Springer Verlag, 2008, Page: 898-902
  2. Geospatial Semantic Web, Definition 
    Bhavani Thuraisingham, Latifur Khan , Ganesh Subbiah, Ashraful Alam, Murat Kantarcioglu Encyclopedia of Geographical Information Science, Editor: Shashi Shekhar and Hui Xiong Springer Verlag, 2008, 398
  3. A New Hierarchical Approach for Image Clustering 
    Lei Wang and Latifur Khan Multimedia Data Mining and Knowledge Discovery, Page 41-57, Editor V. Petrushin et al., Springer, (December 2006).
  4. Data Complexity in Clustering Analysis of Gene Microarray Expression Profiles 
    Feng Luo and Latifur Khan Complexity in Pattern Recognition, Page 217-239, Editor Mitra Basu and Tin Kam Ho, Springer ISBN 978-1-84628-171-6 (December 2006).
  5. Classification Problems using Support Vector Machine in Data Mining Latifur Khan , and Mamoun Awad In Encyclopedia of Data Warehousing and Mining, Editor John Wang, Information Science Publishing, ISBN 1-59140-557-2, (April 2005).
  6. Bayesian Networks Ahmed Bashir, Latifur Khan , and Mamoun Awad In Encyclopedia of Data Warehousing and Mining, Editor John Wang, Information Science Publishing, ISBN 1-59140-557-2, (April 2005).
  7. A Run-Time Probe Based Technique to Optimize Queries in Distributed Internet Databases Latifur Khan , Arun Ponnusamy, Dennis McLeod, and Cyrus Shahabi Advanced Topics in Database Research, Editor K. Siau, Vol. 2, Idea Group Publishing, Page 128-161, Hershey, PA (2003).
  8. Object Boundary Detection for Hierarchical Image Classification
     Latifur Khan and Lei Wang Mining Multimedia and Complex Data, ed. C. Djeraba, S. J. Simoff, and O. R. Zaiane , ISBN 3-540-20305-2, DOI:10.1007/b12031, Chapter 6, Page 36-49, Springer-Verlag Publishing, Heidelberg, Germany (2003).
  9. Change Detection of RDF Documents Using Signatures Latifur Khan , Lei Wang, and Qing Chen Real World RDF and Semantic Web, ed. V. Kashyap and L. Shklar, Series of Frontiers of Artificial Intelligence and Applications, IOS Press, ISBN 1-58603-306-9, Page 93-116, Amsterdam, Netherlands (2003).