Dr. Sumeet Dua

Max P. and Robbie L. Watson Eminent Scholar Chair

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CSC-580 (SPRING 2011)

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Research Review Papers:

1. Yang, J. and W. Wang. "CLUSEQ: Efficient and Effective Sequence Clustering." Proceedings of the 19th IEEE International Conference on Data Engineering (ICDE). Banglore, India: IEEE Computing Society, 2003. 101.

2. Vailaya, A., M. Figueiredo, A. K. Jain, H.-J. Zhang. "Image Classification for Content-Based Indexing." IEEE Transactions on Image Processing (IEEE Computing Society) 10, no. 1 (2001): 117-130.

3. Lee, W., S. J. Stolfo, and K. W. Mok. "A Data Mining Framework for Building Intrusion Detection Models." Proceedings of the 1999 IEEE Symposium on Security and Privacy. Oakland: IEEE Computing Society, 1999. 120-132.

4. Xu, K., Z.-L. Zhang, and S. Bhattacharyya. "Internet Traffic Behavior Profiling for Network Security Monitoring." IEEE/ACM Transactions on Networking (TON) (IEEE Press) 16, no. 6 (2008): 1241-1252.

5. Cheng, H., X. Yan, J. Han, and P.S. Yu. "Direct Discriminative Pattern Mining for Effective Classification." Data Engineering. Cancun: ICDE 2008. IEEE 24th International Conference on Data Engineering, 2008. 169-178.

6. Kantarcioglu, M. and C. Clifton. "Privately Computing a Distributed K-nn Classifier." PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases. New York: Springer-Verlag, 2004. 279-290.

7. Vaidya, J and C. Clifton. "Privacy-Preserving K-Means Clustering over Vertically Partitioned Data." KDD'03 Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Washington, D.C.: ACM, 2003. 206-215.

8. Cheng, Y. and G. M. Church. "Biclustering of Expression Data." Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology. Menlo Park, CA: AAAI Press, 2000. 93-103.

9. Kumar, S., J. Ghosh, and M. M. Crawford. "Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis." Pattern Analysis and Applications (Springer-Verlag) 5, no. 2 (2002): 210-220.

Final Project Presentations:

1. Using Data Mining for Wine Quality Assessment

2. Classification of Mass-Spectrometric Data for Cancer

3. Hill-valley Classification for Sequential Data

4. Forecasting the Ozone Days

5. Clustering Algorithm for IDS on Honeybot Dataset

6. A New Data Mining Method Based on Fusion Clustering Algorithm

7. Classification of Attacks in an Intrusion Detection System

8. Classification Rule Mining for Automatic Credit Approval

9. Wall- Following Robot Navigation

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