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Web Mining Applications in E-Commerce and E-Services (Hardcover, 2009 ed.) Loot Price: R2,928
Discovery Miles 29 280
Web Mining Applications in E-Commerce and E-Services (Hardcover, 2009 ed.): I-Hsien Ting, Hui-Ju Wu

Web Mining Applications in E-Commerce and E-Services (Hardcover, 2009 ed.)

I-Hsien Ting, Hui-Ju Wu

Series: Studies in Computational Intelligence, 172

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Loot Price R2,928 Discovery Miles 29 280 | Repayment Terms: R274 pm x 12*

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Web mining has become a popular area of research, integrating the different research areas of data mining and the World Wide Web. According to the taxonomy of Web mining, there are three sub-fields of Web-mining research: Web usage mining, Web content mining and Web structure mining. These three research fields cover most content and activities on the Web. With the rapid growth of the World Wide Web, Web mining has become a hot topic and is now part of the mainstream of Web - search, such as Web information systems and Web intelligence. Among all of the possible applications in Web research, e-commerce and e-services have been iden- fied as important domains for Web-mining techniques. Web-mining techniques also play an important role in e-commerce and e-services, proving to be useful tools for understanding how e-commerce and e-service Web sites and services are used, e- bling the provision of better services for customers and users. Thus, this book will focus upon Web-mining applications in e-commerce and e-services. Some chapters in this book are extended from the papers that presented in WMEE 2008 (the 2nd International Workshop for E-commerce and E-services). In addition, we also sent invitations to researchers that are famous in this research area to contr- ute for this book. The chapters of this book are introduced as follows: In chapter 1, Peter I.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 172
Release date: 2009
First published: 2009
Editors: I-Hsien Ting • Hui-Ju Wu
Dimensions: 235 x 155 x 12mm (L x W x T)
Format: Hardcover
Pages: 182
Edition: 2009 ed.
ISBN-13: 978-3-540-88080-6
Categories: Books > Business & Economics > Business & management > E-commerce
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-540-88080-1
Barcode: 9783540880806

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