EE 380L : Data Mining (ESE)

Spring 2001
Prof. Joydeep Ghosh

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Check the presentation schedule to see which papers have been chosen so far and who has the same taste as you and could be a potential partner.

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Reading List - II

    Exploratory Data Analysis and Visualization
  1. "Automating Exploratory Data Analysis for Efficient Data Mining",
    Becher, J.D., Berkhin, P., and Freeman, E.,
    KDD-2000, pp. 424 - 429     		Selected by Jeeha Kim
  2. "RuleViz: A Model for Visualizing Knowledge Discovery Process",
    Han, J. and Cercone, N.,
    KDD-2000, pp. 244-253     		Selected by
    Sandra Gomez & Rafael Cabezas
  3. "Visualization and The Process of Modeling: A Cognitive-Theoretic View",
    Crapo, A.W., Waisel, L.B., Wallace, W.A., and Willemain, T.R.,
    KDD-2000, pp. 218-226     		Selected by
    Ranjit Nayak & Abu Sanaullah
  4. "Discovery-driven Exploration of OLAP Data Cubes"
    Nimrod Megiddo, Sunita Sarawagi, Rakesh Agrawal
    In Proc. Sixth International Conference on Extending Database Technology (EDBT), Mar 1998     		Selected by
    Geoff M. Glaze and Jinming Cao

    Clustering/Segmentation
  5. "Fast and Intuitive Clustering of Web Documents"
    O. Zamir, O. Etzioni, O. Madani, and R. M. Karp
    Proc. of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), Aug. 1997, Newport Beach, California, USA     		Selected by
    Rebecca Tongsinon & Susann Keohane
  6. "CACTUS-Clustering Categorical Data Using Summaries"
    Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehrke
    DEMON project
    Proc. 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-99), Aug 1999, pp 73-83

    Association Rules
  7. "Small is Beautiful: Discovering the Minimal Set of Unexpected Patterns",
    Padmanabhan, B. and Tuzhilin, A.,
    KDD-2000, pp. 54-63     		Selected by
    Dave Hart and Colin Murphy
  8. "Constraint-Based Rule Mining in Large, Dense Databases"
    Roberto J. Bayardo Jr., Rakesh Agrawal and Dimitrios Gunopulos
    Proceedings of the 15th International Conference on Data Engineering, 1999 Mar, Sydney, Austrialia, IEEE CS Press, 1999
  9. "Beyond Market Baskets: Generalizing Association Rules to Correlations(Dependence Rules)"
    Craig Silverstein, Sergey Brin, Rajeev Motwani
    Data Mining and Knowledge Discovery, 2, 1998, pp. 39-68    		 Selected by
    Eric Rasanayagam

    Classification
  10. "BOAT -- Optimistic Decision Tree Construction"
    J. E. Gehrke, Venkatesh Ganti, Raghu Ramakrishnan, and Wei-Yin Loh.
    Proceedings of the 1999 SIGMOD Conference, Philadelphia, Pennsylvania, 1999.

    Sampling
  11. "Is Sampling Useful in Data Mining? A Case in the Maintenance of Discovered Association Rules"
    S.D. Lee, David W. Cheung, Ben Kao
    Data Mining and Knowledge Discovery, An International Journal, Vol. 2, pp. 233-262, Kluwer Academic Publishers, 1998     		Selected by
    Kieu-Tram Phan and Sam Haddad

    Scalability Issues
  12. "Th IGrid Index: Reversing the Dimensionality Curse for Similarity Indexing in High Dimensional Space",
    Aggarwal, C.C. and Yu, P.S.,
    KDD-2000, pp. 119-129     		Selected by
    Matthew Hawthorne
  13. "Scalable Parallel Data Mining for Association Rules"
    Eui-Hong (Sam) Han, George Karypis, and Vipin Kumar
    IEEE Transactions on Knowledge and Data Engineering (To appear)

    Web Mining & Information Retrieval
  14. "Agglomerative Clustering of A Search Engine Query Log",
    Beeferman, D. and Berger, A.,
    KDD-2000, pp. 407 - 416     		Selected by
    Minquan Jin and Chatchawan Dejitthirat
  15. "A Framework for Specifying Explicit Bias for Revision of Approximate Information Extraction Rules",
    Feldman, R., Liberzon, Y., Rosenfeld, B., Schler, J., and Stoppi, J.,
    KDD-2000, pp. 189-197     		Selected by
    Milap Shah and Rishikesh Ghare
  16. "A Broader Approach to Personalization"
    Cingil, I., Dogac, A., and Azgin, A.
    Communications of the ACM, Vol. 43, No. 8, August 2000.     		Selected by
    Victor Gonzalez & Ali Bawany
  17. "Intermediaries: An Approach to Manipulating Information Streams",
    Barrett, R. and Maglio, P.P.,
    IBM Systems Journal, 38, 1999     		Selected by
    Atif Saeed and Sachin Wadhawan
  18. "On-line Learning of User Preferences in Recommender Systems"
    J. Delgado and N. Ishii
    International Joint conference on Artificial Intelligence (IJCAI-99), July, 1999. Workshop for Information Filtering.     		Selected by
    Angela Cody & Burton Richards
  19. "Efficient Identification of Web Communities"
    Gary W. Flake, S. Lawrence and C. L. Giles
    In the Proceedings of the Sixth International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD-2000), Boston, MA, USA. August 20-23, 2000     		Selected by
    Leticia Herrera and Ariel Zuniga
  20. "Mining High-Speed Data Streams"
    Pedro Domingos, Geoff Hulten
    Proceedings of the Sixth International Conference on Knowledge Discovery and Data Mining, 2000. Boston, MA: ACM Press     		Selected by
    Haritha K Nandela & Vijaya Balakrishna

    Mining of Sequential Patterns and Time Series
  21. "Deformable Markov Model Templates for Time-Series Pattern Matching"
    Xianping Ge and Padhraic Smyth
    Technical Report UCI-ICS 00-10, March 2000     		Selected by
    Anshuman Sinha

    Miscellaneous
  22. "Data Mining Solves Tough Semiconductor Manufacturing Problems",
    Gardner, M. and Bieker, J.,
    KDD-2000, pp. 376 - 383     		Selected by
    Henry Gbedemah & Chris Hamilton
  23. "Mining IC Test Data to Optimize VLSI Testing",
    Fountain, T., Dietterich, T., and Sudyka, B.,
    KDD-2000, pp. 18-25     		Selected by
    Dan Littlejohn and Tom Kerber
  24. "Discovering Robust Knowledge from Databases that Change"
    Chun-Nan Hsu and Craig A. Knoblock
    Data Mining and Knowledge Discovery, 2(1), 1998, pp. 69-95

Last updated on 01/2001.