Optimization Based Data Mining: Theory and Applications
Shi, Yong / Tian, Yingjie / Li, Jianping / Peng, Yi / Kou, Gang
Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration h...
