Innovative Applications in Data Mining, 

Автор: Li
Название: Advanced Data Mining and Applications
ISBN: 3319495852 ISBN-13(EAN): 9783319495859
Издательство: Springer
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Цена: 14814.00 р.
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Описание: The selected papers covered a wide variety of important topics in the area of data mining, including parallel and distributed data mining algorithms, mining on data streams, graph mining, spatial data mining, multimedia data mining, Web mining, the Internet of Things, health informatics, and biomedical data mining.

Автор: Cao
Название: Trends and Applications in Knowledge Discovery and Data Mining
ISBN: 3319429957 ISBN-13(EAN): 9783319429953
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented were carefully reviewed and selected from 38 submissions.

Автор: K. R. Venugopal; K.G Srinivasa; L. M. Patnaik
Название: Soft Computing for Data Mining Applications
ISBN: 3642101259 ISBN-13(EAN): 9783642101250
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This monograph presents recent research in the fields of data mining in combination with soft computing methodologies. It provides valuable research directions in the field of specialization.

Автор: Petra Perner
Название: Advances in Data Mining. Applications and Theoretical Aspects
ISBN: 3642030661 ISBN-13(EAN): 9783642030666
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society.

Автор: I-Hsien Ting; Hui-Ju Wu
Название: Web Mining Applications in E-Commerce and E-Services
ISBN: 3642099866 ISBN-13(EAN): 9783642099861
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book offers new developments and high-quality studies into the area of web mining in E-commerce and E-service. It includes chapters on semantic web mining, web performance mining, web mining for social network analysis and for P2P services.