Optimization Based Data Mining: Theory and Applications (Advanced Information and Knowledge Processing) - Tapa blanda

Libro 30 de 66: Advanced Information and Knowledge Processing

Shi, Yong; Tian, Yingjie; Kou, Gang; Peng, Yi; Li, Jianping

 
9781447126539: Optimization Based Data Mining: Theory and Applications (Advanced Information and Knowledge Processing)
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ISBN 10: 144712653X ISBN 13: 9781447126539
Editorial: Springer, 2013

Sinopsis

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 has attracted many researchers who are interested in algorithm development of data mining.

Optimization based Data Mining: Theory and Applications, mainly focuses on MCP and SVM especially their recent theoretical progress and real-life applications in various fields. These include finance, web services, bio-informatics and petroleum engineering, which has triggered the interest of practitioners who look for new methods to improve the results of data mining for knowledge discovery.

Most of the material in this book is directly from the research and application activities that the authors’ research group has conducted over the last ten years. Aimed at practitioners and graduates who have a fundamental knowledge in data mining, it demonstrates the basic concepts and foundations on how to use optimization techniques to deal with data mining problems.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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 has attracted many researchers who are interested in algorithm development of data mining.

Optimization based Data Mining: Theory and Applications, mainly focuses on MCP and SVM especially their recent theoretical progress and real-life applications in various fields. These include finance, web services, bio-informatics and petroleum engineering, which has triggered the interest of practitioners who look for new methods to improve the results of data mining for knowledge discovery.

Most of the material in this book is directly from the research and application activities that the authors research group has conducted over the last ten years. Aimed at practitioners and graduates who have a fundamental knowledge in data mining, it demonstrates the basic concepts and foundations on how to use optimization techniques to deal with data mining problems.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2013
Idioma
Inglés
ISBN 10 
144712653X
ISBN 13 
9781447126539
Encuadernación
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Número de páginas
332
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Otras ediciones populares con el mismo título

9780857295033: Optimization Based Data Mining: Theory and Applications (Advanced Information and Knowledge Processing)

Edición Destacada

ISBN 10:  0857295039 ISBN 13:  9780857295033
Editorial: Springer, 2011
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