Data Mining Paper Presentations

Spring 2013

Please refer to the Research Guide for information about what to say in a good talk.
If a paper/book does not yet have PPT slides, you will need to generate new slides.

    Database Specialty

  1. J. Han, J. Pei, and Y. Yin, Mining Frequent Patterns without Candidate Generation, Proc. 2000 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'00), Dallas, TX, May 2000.
    Spring 2009 Presenter: Song Wang
    Presentation Date: March 18, 60 min
    2009 presentation slides in PowerPoint: Here.
  2. R. Srikant and R. Agrawal, Quantitative Association Rules, Proc. of the ACM SIGMOD Int'l Conference on Management of Data, 1996.
    Spring 2013 Presenter: Sepehr Amir-Mohammadian
    Presentation Date: March 21, 60 min
    2013 Presentation slides in PowerPoint: Here.
  3. Xindong Wu, Chengqi Zhang, and Shichao Zhang, Efficient Mining of Both Positive and Negative Association Rules, ACM Transactions on Information Systems, 22(2004), 3: 381-405.
    Spring 2009 Presenter: Tianyu Cao
    Presentation Date: March 25, 60 min
    2009 Presentation slides in PowerPoint: Here.
  4. J. Han and Y. Fu, Multiple-Level Association Rules, IEEE Transactions on Knowledge and Data Engineering, Volume 11, Number 5, October 1999.
    Spring 2013 Presenter: Ethan J. Eldridge
    Presentation Date: March 26, 60 min
    2013 presentation slides in PDF (not in PowerPoint): Here; 2011 presentation slides in PowerPoint: Here.
  5. M. Hernandez and S. Stolfo, Real-World Data is Dirty: Data Cleansing and The Merge/Purge Problem, Data Mining and Knowledge Discovery, Volume 2, Issue 1, 1998, 9-37.
    Fall 2011 Presenter: Haiguang Li
    Presentation Date: December 1, 30 min
    2010 Presentation slides in PowerPoint: Here.
  6. Chun-Nan Hsu and Graig A. Knoblock, Discovering Robust Knowledge from Databases that Change, Data Mining and Knowledge Discovery, Volume 2, Issue 1, 1998, 69-95.
    Spring 2009 Presenter: Mark Stebbins
    Presentation Date: April 1, 60 min
    2009 Presentation slides in PowerPoint: Here.
  7. S.D. Lee, David Cheung and Ben Kao, Is Sampling Useful in Data Mining? A Case in the Maintenance of Discovered Association Rules, Data Mining and Knowledge Discovery, Volume 2, Issue 3, 1998, 233-262.
    Spring 2009 Presenter: Matthew Tretin
    Presentation Date: April 6, 60 min
    2009 Presentation slides in PowerPoint: Here.
  8. Mohammed J. Zaki, Efficiently Mining Frequent Trees in a Forest, KDD 2002.
    Fall 2011 Presenter: Ahmed Nabhan
    Presentation Date: November 8, 60 min
    2011 Presentation slides in PowerPoint: Here.
  9. Pedro Domingos and Geoff Hulten, Mining High-Speed Data Streams, KDD 2000.
    Spring 2013 Presenter: Afsoon Yousefi Zowj
    Presentation Date: March 28, 60 min
    2013 Presentation slides in PowerPoint: Here.
  10. Xifeng Yan and Jiawei Han, gSpan: Graph-Based Substructure Pattern Mining, ICDM 2002.
    Fall 2011 Presenter: Ahmed Nabhan
    Presentation Date: December 1, 30 min
    2011 Presentation slides in PowerPoint: Here.

    AI Specialty

  11. Hastie, T. and Tibshirani, R. 1996. Discriminant Adaptive Nearest Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI). 18, 6 (Jun. 1996), 607-616.
    Spring 2013 Presenter: Scott Connor
    Presentation Date: April 2, 60 min
    2013 Presentation slides in PowerPoint: Here.
  12. R. Agrawal and R. Srikant, Mining Sequential Patterns, Proc. of the Int'l Conference on Data Engineering (ICDE), Taipei, Taiwan, March 1995.
    Fall 2011 Presenter: Sam Brown
    Presentation Date: Dec 6, 30 min 2011 Presentation slides in PowerPoint: Here.
  13. Freund, Y. and Schapire, R. E. 1997. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci. 55, 1 (Aug. 1997), 119-139.
    Spring 2013 Presenter: David Leach
    Presentation Date: April 4, 60 min
    2013 Presentation slides in PowerPoint: Here.
  14. Brin, S. and Page, L. 1998. The anatomy of a large-scale hypertextual Web search engine. In Proceedings of the Seventh international Conference on World Wide Web (WWW-7) (Brisbane, Australia). P. H. Enslow and A. Ellis, Eds. Elsevier Science Publishers B. V., Amsterdam, The Netherlands, 107-117.
    Spring 2013 Presenter: Garth Fritz
    Presentation Date: April 9, 60 min
    2013 presentation slides in PowerPoint: Here.
  15. Xindong Wu, Fuzzy Interpretation of Discretized Intervals, IEEE Transactions on Fuzzy Systems, Volume 7, Number 6, 1999, 753-759.
    Spring 2006 Presenter: Peter Duval
    Presentation Date: April 10, 30 min
    2006 Presentation slides in PowerPoint: Here.
  16. Tom Fawcett and Foster Provost, Data Mining for Adaptive Fraud Detection, Data Mining and Knowledge Discovery, Volume 1, Issue 3, 1997, 291-316.
    Spring 2013 Presenter: Ahmed Hamed
    Presentation Date: April 11, 60 min
    2013 Presentation slides in PowerPoint: Here.
  17. J. Dorre, P. Gerstl, and R. Seiffert, Text Mining: Finding Nuggets in Mountains of Textual Data, Proceedings of the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, California, August 15-18, 1999, 398-401.
    Spring 2013 Presenter: Shamil Mustafayev
    Presentation Date: April 16, 60 min
    2013 Presentation slides in PowerPoint: Here.
  18. R. Kosala and H. Blockeel, Web Mining Research: A Survey, SIGKDD Explorations, June 2000. Volume 2, Issue 1.
    Spring 2013 Presenter: Narine Manukyan
    Presentation Date: April 18, 60 min
    2013 Presentation slides in PowerPoint: Here.

    Statistics Specialty

  19. Vapnik, V. N. 1995. The Nature of Statistical Learning Theory. Springer-Verlag New York, Inc.
    Spring 2013 Presenter: Michael Sullivan
    Presentation Date: April 23, 60 min
    2013 Presentation slides in PowerPoint: Here.
  20. McLachlan, G. and Peel, D. (2000). Finite Mixture Models. J. Wiley, New York.
    Spring 2013 Presenter: Christopher Morse
    Presentation Date: April 25, 60 min
    2013 Presentation slides in PowerPoint: Here.
  21. Douglas Fisher, Iterative Optimization and Simplification of Hierarchical Clusterings, Journal of Artificial Intelligence Research, 4(1996), 147-180.
    Spring 2007 Presenter: Paul Haake
    Presentation Date: April 19, 60 min
    2007 Presentation slides in PowerPoint: Here.
  22. David Heckerman, Bayesian Networks for Data Mining, Data Mining and Knowledge Discovery, Volume 1, Issue 1, 1997.
    Spring 2013 Presenter: Jeremy Gould
    Presentation Date: April 30, 60 min
    2013 Presentation slides in PowerPoint: Here.
  23. Tian Zhang, Raghu Ramakrishnan, Miron Livny, BIRCH: A New Data Clustering Algorithm and Its Applications, Data Mining and Knowledge Discovery, Volume 1, Issue 2, 1997, 141-182.
    Spring 2009 Presenter: Zhao Li
    Presentation Date: April 29, 60 min
    2009 Presentation slides in PowerPoint: Here.
  24. Stephen L. Salzberg, On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach, Data Mining and Knowledge Discovery, Volume 1, Issue 3, 1997, 317-328.
    2001 Presenter: Prakash Tilwani
    Presentation Date: April 25
    2001 Presentation slides in PowerPoint: Here.
Please e-mail queries and comments to xwu@cs.uvm.edu.