Each presentation is 25 Minutes maximum (including discussions, etc)
Tuesday, October 24
1. Sarkar, Moxley, Rahimi, Ramaswamy
(presentation)
A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh, "Clustering with Bregman Divergences," J. Machine Learning Research, 2005.
Thursday, October 26
2. Chen (CY), Ni, Sturm (presentation)
L. Breiman, Random Forests. (Technical Report, 2001)
Tuesday, October 31.
3. Ranu, Sakarya, Singh (presentation)
Microarray Data Analysis: Problems and Methods. ( a. Genomics and DNA Arrays; b. Human Genome and Microarray Technology).
4. P. Wu, S. Wu and WY CHen (presentation)
A. Gionis, P. Indyk, and R. Motwani, "Similarity Search in High Dimensions via Hashing,"
Proceedings of the 25th International Conference on Very Large Data Bases (VLDB), 1999.
(If you have problems downloading from the above link, try the following PDF file).
Thursday, November 2.
5. J. Kleban, JH Choi and J. Guzman (presentation)
J. Cho, S. Roy and R. E. Adams, "Page Quality: In search of an unbiased web ranking".
Tuesday, November 7.
6. Q. Zhu, MC Yeh, and JJ Xu (presentation slides1 slides2)
Christopher R. Palmer, Phillip B. Gibbons, Christos Faloutsos, "ANF: A Fast and Scalable Tool for Data Mining in Massive Graphs," KDD 2002. Also to include a brief overview of Another paper on Graph mining.
7. S Gauglitz, Patel and Bogdanov (presentation)
Mohammed Zaki, "Efficiently Mining Frequent Trees in a Forest," KDD 2002.
8. Joshi, Mangiat and Sargin (presentation)
W. W. Cohen and Y. Singer, SLIPPER: A Simple, Fast and Effective Rule Learner. Also to include an overview of RIPPER rule learning system.