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Data Mining and Knowledge Discovery (DATAMINE) - April 2002, issue 2 论文列表

本期论文列表
On Issues of Instance Selection

Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms

Advances in Instance Selection for Instance-Based Learning Algorithms

Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction

A Unifying View on Instance Selection

Web Mining

Discovery of Web Robot Sessions Based on their Navigational Patterns

Using Site Semantics to Analyze, Visualize, and Support Navigation

Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization

Efficient Adaptive-Support Association Rule Mining for Recommender Systems

Cubegrades: Generalizing Association Rules

Support Vector Machines and the Bayes Rule in Classification

Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition

Techniques of Cluster Algorithms in Data Mining

High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application

Discretization: An Enabling Technique