Scientific Data Mining

Chandrika Kamath and Michael Burl

Predicting Breast Cancer Survivability Using Data Mining Techniques

A L₂ Discrepancy Learning Process with Applications to Outlier and Insider Detections With Large High-Dimensional Data

Distributed Data Mining for Astronomy Catalogs

Automatic Signal Enhancement in Particle Physics Using Multivariate Classification and Physical Constraints

SVM Classification for Predicting Sparse Matrix Solvability with Parameterized Matrix Conditioners