Optimization based data mining
Kou, Gang, Li, Jianping, Peng, Yi, Shi, Yong, Tian, Yingjie et al.
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.
Abstract: Optimization techniques have been widely adopted to implement various data mining algorithms. This book focuses on cutting-edge theoretical developments and real-life applications in optimization, covering a range of fields from finance to bioinformatics.
Abstract: Optimization techniques have been widely adopted to implement various data mining algorithms. This book focuses on cutting-edge theoretical developments and real-life applications in optimization, covering a range of fields from finance to bioinformatics.
ক্যাটাগোরিগুলো:
সাল:
2011
প্রকাশক:
Springer London
ভাষা:
english
পৃষ্ঠা:
313
ISBN 10:
0857295047
ISBN 13:
9780857295040
বইয়ের সিরিজ:
Advanced information and knowledge processing
ফাইল:
PDF, 2.41 MB
IPFS:
,
english, 2011
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Beware of he who would deny you access to information, for in his heart he dreams himself your master
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