Edited Collections
A Survey of Methods for Scaling Up Inductive Algorithms
View on http://dl.acm.org/
SIGKDD Explorations 1999
Some Great News Some time has elapsed since I last addressed the readers of SIGKDD Explorations from this forum. It is with particularly great
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,
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
Beyond Market Baskets: Generalizing Association Rules to Dependence Rules
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On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach
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Data Mining and Knowledge Discovery: An International Journal
View on http://link.springer.com/
Levelwise Search and Borders of Theories in Knowledge Discovery
View on www.dl.acm.org
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
View on http://www.learningace.com/