Some Great News Some time has elapsed since I last addressed the readers of SIGKDD Explorations from this forum. It is with particularly great
Patents & Publications
“Scalable Classification over SQL Databases” Surajit Chaudhuri, Usama Fayyad, Jeff Bernhardt. ICDE 1999, Pro. of the 15th International Conference on Data Engineering, pp. 470-479, IEEE Computer Society, Sydney, Australia, March (1999).
Mining Pharmacy Data Helps to Make Profits
YUKINOBU HAMURO hamuro@adm.osaka-sandai.ac.jp Department of Business Administration, Osaka Industrial University, 3-1-1, Nakagaito, Daito, Osaka, Japan NAOKI KATOH naoki@archi.kyoto-u.ac.jp Graduate School of Engineering, Kyoto University,
“Scaling Clustering Algorithms to Large Databases” P. S. Bradley, Usama Fayyad, Cory Reina. KDD 1998, Pro. of the 4th International Conference on Knowledge Discovery and Data Mining, pp. 9-15, AAAI Press, New York, NY, August (1998).
“Initialization of Iterative Refinement Clustering Algorithms” Usama Fayyad, Cory Reina, P. S. Bradely. KDD 1998, Pro. of the 4th International Conference on Knowledge Discovery and Data Mining, pp. 194-198, AAAI Press, New York, NY, August (1998).
“On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases” Goetz Graefe, Usama Fayyad, Surajit Chaudhuri. KDD 1998, Pro. of the 4th International Conference on Knowledge Discovery and Data Mining, pp. 204-208, AAAI Press, New York, NY, August (1998).
“A Learning Approach to Object Recognition: Applications in Science Image Database Exploration and Analysis” U.M. Fayyad, P. Smyth, M.C. Burl, & P. Perona. A chapter in Early Visual Learning, S. Nayar and T. Poggio (Eds.), Oxford University Press (1998).
“Refining Initial Points for K-Means Clustering” Paul Bradley, Usama Fayyad. ICML 1998, Pro. of the 15th International Conference on Machine Learning, pp. 91-99, Morgan Kaufmann, Madison, Wisconson, July (1998).
A Tutorial on Support Vector Machines for Pattern Recognition
Abstract. The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines
Fayyad, U. “Taming the Giants and the Monsters: Mining Large Databases for Nuggets of Knowledge”, Database Programming and Design
[Phoenix, AZ, 3/4/97, 9:30PM, office of COO, TLI Communications Corp] “But how do we find those guys?” asked Underwood, “there’s some 10 billion records