Web Mining Applications in E-commerce and E-services

. Ed(s): Ting, I-Hsien; Wu, Hui-Ju

ISBN 10: 3642099866 ISBN 13: 9783642099861
Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2010
Neuf(s) Couverture souple

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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. Editor(s): Ting, I-Hsien; Wu, Hui-Ju. Series: Studies in Computational Intelligence. Num Pages: 182 pages, 11 black & white tables, biography. BIC Classification: KJQ; KJT; UGC; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 10. Weight in Grams: 302. . 2010. 1st ed. Softcover of orig. ed. 2009. Paperback. . . . . N° de réf. du vendeur V9783642099861

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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.

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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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Titre : Web Mining Applications in E-commerce and ...
Éditeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Date d'édition : 2010
Reliure : Couverture souple
Etat : New
Edition : Edition originale

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I-Hsien Ting
ISBN 10 : 3642099866 ISBN 13 : 9783642099861
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Paperback. Etat : new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783642099861

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Paperback. Etat : new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783642099861

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