Data mining and mathematical programming

Contributor(s): Hansen, P | Pardalos, P. MMaterial type: Computer fileComputer fileSeries: CRM Proceedings and Lecture Notes ; v. 45Publication details: Providence, R.I. : American Mathematical Society, c2008Description: 1 online resource (vii, 234 p. : ill.)ISBN: 9781470439590 (online)Subject(s): Data mining | Programming (Mathematics)Online resources: Click here to access online
Contents:
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
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current library Call number URL Status Date due Barcode Item holds
electronic book electronic book
Link to resource Accessible Online EBK20988
Total holds: 0

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

There are no comments on this title.

to post a comment.