PUBLICATIONS

 

  1. Faris Alqadah and Raj Bhatnagar. Discovering Substantial Distinctions among Incremental Bi-Clusters, To be presented at the SIAM International Conference on Data Mining (SDM 09) in April 2009.
  2. Shriram Narayanswamy, Raj Bhatnagar. A Lattice-Based Model for Recommender Systems Proceedings of the International Conference on Tools with Artificial intelligence (ICTAI 2008) pp. 349-356. Download
  3. Faris Alqadah, Raj Bhatnagar. Detecting significant distinguishing sets among bi-clusters. Proceedings of the CIKM 2008.
  4. Faris Alqadah, Raj Bhatnagar. An effective algorithm for mining 3-clusters in vertically partitioned data. Proceedings of the CIKM 2008, 1103-1112.
  5.   Haiyun Bian, Raj Bhatnagar. An Algorithm for Mining Weighted Dense Maximal 1-Complete Regions. Data Mining: Foundations and Practice, 31-48, Springer Verlag, 2008.
  6. Ahmed Khedr and Raj Bhatnagar. Agents for Integrating Distributed Data for Complex Computations. Computing and Informatics Journal, Vol. 26, 2007, 149-170.
  7. Eric T. Matson, Raj Bhatnagar. Knowledge Sharing Between Agents in a Transitioning Organization. Proceedings of the COIN 2007 published as book Coordination, Organizations, Institutions, and Norms in Agent Systems - III,  Springer Verlag, 2007, pp. 187-202.
  8. Amit Sinha and Raj Bhatnagar. Efficient and Scalable Motif Discovery using Graph-based Search, Proceedings of the IEEE Symposium on Computation Biology, CIBCB07, April 2007.
  9. Haiyun Bian, Raj Bhatnagar, and Barrington Young. An Efficient Constraint-Based Closed Set Mining Algorithm. Proceedings of the International Conference on Machine Learning and Applications (ICMLA 2007), pp. 67-72.
  10. Barrington Young, Raj Bhatnagar, Giridhar Tatavarty, and Haiyun Bian. Covariance matrix Computations with Federated databases. Proceedings of the International Conference on Machine Learning and Applications (ICMLA 2007), pp. 172-177.
  11. Sasthakumar Ramamurthy and Raj Bhatnagar. Tracking Recurrent Concept Drift in Streaming Data Using Ensemble Classifiers. Proceedings of the International Conference on Machine Learning and Applications (ICMLA 2007), pp. 404-409.
  12. Amit Sinha, Mukta Phatak, Raj Bhatnagar, and Anil Jegga. Identifying Functional Building Motifs of Tumor Protein p53 Using Support Vector Machines. Proceedings of the International Conference on Machine Learning and Applications (ICMLA 2007), pp. 506-511.
  13. Giridhar Tatavarty and Raj Bhatnagar. Discovery of Temporal Dependencies between Frequent Patterns in Multivariate Time Series, Proceedings of the Computational Intelligence and Data Mining Symposium (CIDM 2007) held in Hawai in April 2007.
  14. Laxmi Santhanam, Dharma Agrawal, and Raj Bhatnagar. A Perceptron based Classifier for Detecting Malicious Route Floods in Multihop Wireless Mesh Networks. Proceedings of the International Conference on Wireless and Mobile Communications, Guadeloupe, French Caribbean (March 4th to March 8th 2007).
  15. Eric Matson and Raj Bhatnagar. Properties of Capability Based Agent Organization Transition, Proceedings of the Intelligent Agent Technologies (IAT 2006) conference held in Hong Kong in December 2006.
  16. Barrington Young and Raj Bhatnagar. Secure K-NN Algorithm for Distributed Databases, Proceedings of the Privacy Security and Trust Conference, 2006, pp. 485-490. Download
  17. Haiyun Bian, Raj Bhatnagar: Efficiently Mining Maximal 1-complete Regions from Dense Datasets. ICDM Workshop on Foundations of data Mining 2006, Proceedings of ICDM Workshops, pp 423-427
  18. Haiyun Bian and Raj Bhatnagar. Towards More Supervised Subspace Clustering, Proceedings of the MAICS 2006 conference, held in Valparaiso, OH April 2006.
  19. Arvind Muthukrishnan and Raj Bhatnagar. Concept-based Organization and Retrieval of Technical Documents. Proceedings of the MAICS 2006 conference, held in Valparaiso, OH April 2006.
  20. Abhishek Sharma and Raj Bhatnagar. Clustering Spatio-Temporal patterns Using Level wise Search. Proceedings of the MAICS 2006 conference, held in Valparaiso, OH April 2006.
  21. Barrington Young and Raj Bhatnagar. Algorithms for Finding Nearest Neighbors in Distributed Databases. Proceedings of the 11th IPMU (Information processing and Management of Uncertainty in Knowledge-Based systems) Conference held in Paris, France, in July 2006.
  22. Haiyun Bian and Raj Bhatnagar. A Level wise Algorithm for Interesting Subspace Clusters. Proceedings of the 2005 IEEE International Conference on Data Mining, held in November 2005.
  23. Lynne Vettel and Raj Bhatnagar. Learning Deterministic Finite Automata to Capture Temporal Patterns. Proceedings of the 2nd Indian International Conference on Artificial Intelligence, December 2005.
  24. Haiyun Bian and Raj Bhatnagar. An Algorithm for Lattice-Structured subspace clustering, Proceedings of the SIAM International Conference on Data Mining, April 2005. Download
  25. Ahmed Khedr and Raj Bhatnagar, Decomposable Algorithms for Minimum Spanning Tree, Presented at the International Workshop on Distributed Computing, December 2003, Springer Verlag notes on Computer Science, vol. 2918. Download
  26. Wen Niu and Raj Bhatnagar. Mining Temporal Databases for Subsequence Patterns, Proceedings of the SIAM International Conference on Data Mining held in May 2003. Download
  27. Raj Bhatnagar, Goutham Kurra and Wen Niu. Mining High Dimensional Data for Classifier Knowledge. Proceedings of the International Conference on Knowledge Discovery and Data Mining (KDD 2003), held in Washington DC, 2003, pp. 481-486. Download
  28. Lynne Vettel, Raj Bhatnagar. Learning Automata to capture Temporal Patterns. Proceedings of the International Conference on Machine Learning and Applications, 2002.
  29. Mining Microarray Expression Data for Classifier Gene Cores. Proceedings of BIOKDD-2001, available at: http://www.cs.rpi.edu/~zaki/BIOKDD01/.
  30. Goutham Kurra, Wen Niu, Raj Bhatnagar. A Heuristic Search for Discovering Classifier Gene Sets. Presented at the Critical Assessment of Microarray Data Mining '00 (CAMDA00) Conference held at Duke University, December 2000.
  31. Raj Bhatnagar. Probabilistic Reasoning by Cooperative Distributed Databases, Proceedings of the IPMU Conference held in Madrid in July 2000.
  32. Raj Bhatnagar, Steve Meyers. Extent of Intra-Class variability and Class Models, proceedings of SPIE's 2000 Conference on Algorithms for Synthetic Aperture Radar Imagery - VII, held in April 2000.
  33. Raj Bhatnagar, Vijay Tennety, Rob Williams. Grammatical Inference based Classifier for HRR Signatures, proceedings of SPIE's 2000 Conference on Algorithms for Synthetic Aperture Radar Imagery - VII, held in April 2000.
  34. Raj Bhatnagar, Barrington Young. Computations in Distributed Knowledge Environments, Proceedings of ADCOM-99 conference, held in December 1999 at Roorkee, India.
  35. Raj Bhatnagar, Rob Williams, Tushar Kant. A Belief Function Based Approach for Classification of HRR Signatures'' Proceedings of SPIE's 1999 conference on Algorithms for Synthetic Aperture Radar Imagery - VI.
  36. Raj Bhatnagar, Ron Dilsavor, Mark Minardi, Dax Pitts. A Study of Intra-Class Variability in ATR Systems. Proceedings of SPIE's 1998 conference on Algorithms for Synthetic Aperture Radar Imagery - V.
  37. Raj Bhatnagar, Sriram Srinivasan. Pattern Discovery in Distributed Databases.Proceedings of the AAAI-97 Conference held at Providence, RI, in July 1997, pp. 503-508.
  38. Raj Bhatnagar. Decomposable Algorithms for Data Mining. In Data Mining for Scientific and Engineering Applications edited by Robert Grossman, Chandrika Kamath and Philip Kegelmeyer. Published by Kluwer Academic Publishers, October, 2001, pp. 307-317.
  39. Raj Bhatnagar, Richard Horvitz, Rob WIlliams. A Hybrid System for Target Classification, in Pattern Recognition Letters, 18(1997) pp 1399-1403.
  40. Raj Bhatnagar. Context Hypothesization Using Probabilistic Knowledge, in Fundamental Informatica vol. 23, No. 4, August, 1995, pp. 225-246.
  41. Raj Bhatnagar, Laveen N. Kanal. Models from Data for Various Types of Reasoning, in the book Selecting Models from Data edited by Peter Cheesan and R W Oldford and published by Springer-Verlag in the Lecture Notes in Statistics series, #89, pp. 173-180, 1994. 42.
  42. Raj Bhatnagar, Laveen N. Kanal. Structural and Probabilistic Knowledge for Abductive Reasoning, in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, number 3, March 1993.
  43. Raj Bhatnagar, Laveen N. Kanal. Models of Inquiry and Formalisms for Approximate Reasoning, published in the book Fuzzy Logic for the Management of Uncertainty edited by Lotfi A Zadeh and Janusz Kacprzyk. Published by John Wiley and Sons, Inc. New York, 1992, pp. 29-54.
  44. Raj Bhatnagar, Laveen N. Kanal. Using Probabilities as Control Knowledge to Search for Suitable Problem Models in Automated Reasoning. Appeared inOperations Research and Artificial Intelligence : The Integration of Problem Solving Strategies, ed. Donald E. Brown. Kluwer Academic Publishers, 1991.
  45. Raj Bhatnagar. Decision Tree Induction by Cooperating Agents .Proceedings of the Workshop on Multi-Agent Learning held at Providence, RI, in July 1997.
  46. Raj Bhatnagar, Rob Williams. Templates with Lower Mean-Square Error for ATR.Conference on Algorithms for Synthetic Aperture Radar Imagery - IV, held as part of SPIE's 11th international symposium held in April 1997.
  47. Raj Bhatnagar. Exploratory Model Building.Proceedings of the 10th International Conference on Uncertainty in AI - held in July 1994 at Seattle, pp. 77-85.
  48. Raj Bhatnagar. Learning Characteristic Rules in a Target Language .Proceedings of the Pattern Recognition in Practice - IV Conference, held in June 1994 in Netherlands, pp. 267-278, Published by North Holland, 1994.
  49. Raj Bhatnagar. Abduction of Precise Situation Models. Presented at the Second International Symposium on Uncertainty Modeling and Analysis held in April 1993. Proceedings published by IEEE.
  50. Raj Bhatnagar. Construction of Domain Models from Data. Presented at the Fourth Workshop on Artificial Intelligence and Statistics held in January 1993 at Ft Lauderdale, Fla. (jointly with L. N. Kanal)
  51. Raj Bhatnagar, Laveen N. Kanal. Reasoning by Hypothesizing Causal Models. Presented at the IEEE symposium on uncertainty modeling in December 1990.
  52. .Raj Bhatnagar. A Formalism for Automated Generation of Preferred Arguments, Proceedings of AAAI Symposium on Argumentation and Belief, held in Mar. 1991 at Stanford University, pp. 39-61 of Proceedings.
  53. Raj Bhatnagar, S. K. Guha, Sneh Anand, Arun Agarwal, Narendra Bansal. Realization of Microprocessor based reading Aid for the Blind Proceedings of the 1981 annual conference of Computer Society of India, pp.268-275.