Automatic Subspace Clustering of High Dimensional Data
Neural and Wavelet Network Models for Financial Distress Classification
Mining Customer Value: From Association Rules to Direct Marketing
Data Mining for Inventory Item Selection with Cross-Selling Considerations
Accurate Prediction of Protein Disordered Regions by Mining Protein Structure Data
GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets
Finding Frequent Patterns in a Large Sparse Graph*
Using Generalized Estimating Equation to Learn Decision Tree with Multivariate Responses
Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing
Privacy in Data Mining
A Framework for Evaluating Privacy Preserving Data Mining Algorithms*
Preserving the Confidentiality of Categorical Statistical Data Bases When Releasing Information for Association Rules*
Probabilistic Information Loss Measures in Confidentiality Protection of Continuous Microdata
Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation