Data mining and mathematical programming - Providence, R.I. : American Mathematical Society, c2008. - 1 online resource (vii, 234 p. : ill.) - CRM Proceedings and Lecture Notes, v. 45 2472-4890 .

Includes bibliographical reference.

Support vector machines and distance minimization ; 0-1 semidefinite programming for graph-cut clustering: Modelling and approximation ; Artificial attributes in analyzing biomedical databases ; Recent advances in mathematical programming for classification and cluster analysis ; Nonlinear skeletons of data sets and applications -- Methods based on subspace clustering ; Current classification algorithms for biomedical applications ; Bilevel model selection for support vector machines ; Algorithms for detecting complete and partial horizontal gene transfers: Theory and practice ; Nonlinear knowledge in kernel machines ; Ultrametric embedding: Application to data fingerprinting and to fast data clustering ; Selective linear and nonlinear classification

9781470439590 (online)


Data mining.
Programming (Mathematics)