Data Mining Paper Presentations

Spring 2018

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 2018 Presenter: Xindong Wu
    Presentation Date: April 24, 75 min
    2014 & 2016 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 2018 Presenter: Sahan Ahmad
    Presentation Date: Tuesday 4/17, 4:30-6:30pm, OLVR 113
    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 2018 Presenter: Titli Sarkar
    Presentation Date: Friday 4/20, 1:30-3:30pm, OLVR 113
    2014 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 2018 Presenter: Brennan Guidry
    Presentation Date: Tuesday 4/17, 4:30-6:30pm, OLVR 113
    2016 presentation slides in PowerPoint: Here.
  5. 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 2018 Presenter: Oyetokunbo Ipaye
    Presentation Date: Tuesday 4/17, 4:30-6:30pm, OLVR 113
    2014 Presentation slides in PowerPoint: Here.
  6. 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 2018 Presenter: Xiaoguang Xiao
    Presentation Date: Tuesday 4/17, 4:30-6:30pm, OLVR 113
    2014 Presentation slides in PowerPoint: Here.
  7. Mohammed J. Zaki, Efficiently Mining Frequent Trees in a Forest, KDD 2002.
    Spring 2018 Presenter: Prisca Egbua
    Presentation Date: Friday 4/20, 1:30-3:30pm, OLVR 113
    2015 & 2016 Presentation slides in PowerPoint: Here.
  8. Pedro Domingos and Geoff Hulten, Mining High-Speed Data Streams, KDD 2000.
    Spring 2018 Presenter: Akintunde Tolu Jemiseye
    Presentation Date: Tuesday 4/17, 4:30-6:30pm, OLVR 113
    2017 Presentation slides in PowerPoint: Here.
  9. 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.
    Spring 2018 Presenter: Ayokomi Lasisi
    Presentation Date: Friday 4/20, 1:30-3:30pm, OLVR 113
    2016 Presentation slides in PowerPoint: Here.
  10. Xifeng Yan and Jiawei Han, gSpan: Graph-Based Substructure Pattern Mining, ICDM 2002.
    Spring 2018 Presenter: Xuan Li
    Presentation Date: Tuesday 4/17, 4:30-6:30pm, OLVR 113
    2017 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 2018 Presenter: Nishanth Anandanadarajah
    Presentation Date: Tuesday 4/17, 4:30-6:30pm, OLVR 113
    2017 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.
    Spring 2018 Presenter: Marcus Shannon
    Presentation Date: Friday 4/20, 1:30-3:30pm, OLVR 113
    2016 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 2018 Presenter: Razin Hussain
    Presentation Date: Friday 4/20, 1:30-3:30pm, OLVR 113
    2015 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 2018 Presenter: Xindong Wu
    Spring 2017 Presenter: Abdullah Nur
    Presentation Date: April 17, 75 min
    2017 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 2018 Presenter: Drew Richard
    Presentation Date: Friday 4/20, 1:30-3:30pm, OLVR 113
    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 2018 Presenter: SM Zobaed
    Presentation Date: Friday 4/20, 1:30-3:30pm, OLVR 113
    2016 Presentation slides in PowerPoint: Here.
  17. Xindong Wu, Fei Xie, Gongqing Wu, Wei Ding, PNFS: Personalized Web News Filtering and Summarization, International Journal of Artificial Intelligence Tools, 22(2013), Issue 5.
    Spring 2018 Presenter: Clark Wagener
    Presentation Date: Tuesday 4/17, 4:30-6:30pm, OLVR 113
    2017 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 2018 Presenter: Jesse Broussard
    Presentation Date: Tuesday 4/17, 4:30-6:30pm, OLVR 113
    2014 Presentation slides in PowerPoint: Here.
  19. 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 2018 Jeffrey Laborde
    Presentation Date: Tuesday 4/17, 4:30-6:30pm, OLVR 113
    2014 Presentation slides in PowerPoint: Here.

    Statistics Specialty

  20. Vapnik, V. N. 1995. The Nature of Statistical Learning Theory. Springer-Verlag New York, Inc.
    Spring 2018 Presenter: Xindong Wu
    Presentation Date: April 19, 75 min
    Spring 2017 Presenter: Boisy Pitre
    2017 Presentation slides in PowerPoint: Here.
  21. McLachlan, G. and Peel, D. (2000). Finite Mixture Models + Streaming Features. J. Wiley, New York.
    Spring 2018 Presenter: Jeevithan Alagurajah (Streaming Features)
    Presentation Date: Friday 4/20, 1:30-3:30pm, OLVR 113
    Spring 2018 Presenter: Ege Beyazit (EM Algorithm); Presentation Date: April 12, 75 min
    Spring 2017 Presenter: Ege Beyazit
    2017 Presentation slides in PowerPoint: Here.
  22. Douglas Fisher, Iterative Optimization and Simplification of Hierarchical Clusterings, Journal of Artificial Intelligence Research, 4(1996), 147-180.
    Spring 2018 Presenter: Tingting Yang
    Presentation Date: Tuesday 4/17, 4:30-6:30pm, OLVR 113
    2007 Presentation slides in PowerPoint: Here.
  23. David Heckerman, Bayesian Networks for Data Mining, Data Mining and Knowledge Discovery, Volume 1, Issue 1, 1997.
    Spring 2018 Presenter: Nazmul Shahadat
    Presentation Date: Friday 4/20, 1:30-3:30pm, OLVR 113
    2016 Presentation slides in PowerPoint: Here.
  24. 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 2018 Presenter: Ming Sun
    Presentation Date: Friday 4/20, 1:30-3:30pm, OLVR 113
    2009 Presentation slides in PowerPoint: Here.
  25. 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.
    Spring 2018 Presenter: Yilang Guo
    Presentation Date: Friday 4/20, 1:30-3:30pm, OLVR 113
    2014 Presentation slides in PowerPoint: Here.

Please e-mail queries and comments to xwu@louisiana.edu.