Optimization Based Data Mining: Theory and Applications
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....
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Springer - Verlag
2011
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| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25924 |
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oai:scholar.dlu.edu.vn:DLU123456789-259242012-03-03T05:05:57Z Optimization Based Data Mining: Theory and Applications Shi, Yong Tian, Yingjie Kou, Gang Peng, Yi Li, Jianping Tin học Database 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. 2011-09-21T01:32:13Z 2011-09-21T01:32:13Z 2011 Book 978-0-85729-503-3 978-0-85729-504-0 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25924 en application/pdf Springer - Verlag |
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Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
| language |
English |
| topic |
Tin học Database |
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Tin học Database Shi, Yong Tian, Yingjie Kou, Gang Peng, Yi Li, Jianping Optimization Based Data Mining: Theory and Applications |
| description |
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. |
| format |
Book |
| author |
Shi, Yong Tian, Yingjie Kou, Gang Peng, Yi Li, Jianping |
| author_facet |
Shi, Yong Tian, Yingjie Kou, Gang Peng, Yi Li, Jianping |
| author_sort |
Shi, Yong |
| title |
Optimization Based Data Mining: Theory and Applications |
| title_short |
Optimization Based Data Mining: Theory and Applications |
| title_full |
Optimization Based Data Mining: Theory and Applications |
| title_fullStr |
Optimization Based Data Mining: Theory and Applications |
| title_full_unstemmed |
Optimization Based Data Mining: Theory and Applications |
| title_sort |
optimization based data mining: theory and applications |
| publisher |
Springer - Verlag |
| publishDate |
2011 |
| url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25924 |
| _version_ |
1757650976486981632 |