Data Mining and Knowledge Discovery, Volume 6

Volume 6, Number 1, January 2002

• Ron Kohavi, Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava: Web Mining. 5-8
• Pang-Ning Tan, Vipin Kumar: Discovery of Web Robot Sessions Based on their Navigational Patterns. 9-35
• Bettina Berendt: Using Site Semantics to Analyze, Visualize, and Support Navigation. 37-59
• Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa: Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization. 61-82
• Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz: Efficient Adaptive-Support Association Rule Mining for Recommender Systems. 83-105

Volume 6, Number 2, April 2002

• Huan Liu, Hiroshi Motoda: On Issues of Instance Selection. 115-130
• Carlos Domingo, Ricard Gavaldà, Osamu Watanabe: Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms. 131-152
• Henry Brighton, Chris Mellish: Advances in Instance Selection for Instance-Based Learning Algorithms. 153-172
• David Madigan, Nandini Raghavan, William DuMouchel, Martha Nason, Christian Posse, Greg Ridgeway: Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction. 173-190
• Thomas Reinartz: A Unifying View on Instance Selection. 191-210

Volume 6, Number 3, July 2002

• Tomasz Imielinski, Leonid Khachiyan, Amin Abdulghani: Cubegrades: Generalizing Association Rules. 219-257
• Yi Lin: Support Vector Machines and the Bayes Rule in Classification. 259-275
• Joseph Ramsey, Paul Gazis, Ted Roush, Peter Spirtes, Clark Glymour: Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition. 277-293

Volume 6, Number 4, October 2002

• Johannes Grabmeier, Andreas Rudolph: Techniques of Cluster Algorithms in Data Mining. 303-360
• William H. Hsu, Michael Welge, Thomas Redman, David Clutter: High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application. 361-391
• Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan Dash: Discretization: An Enabling Technique. 393-423