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ORCIDData 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 D. 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
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