A Microeconomic View of Data Mining
Principal Direction Divisive Partitioning
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Mining Pharmacy Data Helps to Make Profits
Editorial
Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem
Beyond Market Baskets: Generalizing Association Rules to Dependence Rules
Discovering Robust Knowledge from Databases that Change
Brief Application Description. Neural Networks Based Forecasting Techniques for Inventory Control Applications
Editorial
A Tutorial on Support Vector Machines for Pattern Recognition
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
An Extension to SQL for Mining Association Rules
Editorial
Is Sampling Useful in Data Mining? A Case in the Maintenance of Discovered Association Rules
On the Complexity of Mining Quantitative Association Rules
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values