Web Mining Applications in E-Commerce and E-Services

Hui-Ju Wu

ISBN 10: 3540880801 / ISBN 13: 9783540880806

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2009, 2009

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Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 192 pp. Englisch.

Codice articolo 9783540880806

Dati bibliografici

• Titolo: Web Mining Applications in E-Commerce and E-Services
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2009
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 3540880801
• ISBN 13: 9783540880806
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

Web mining applications in E-commerce and E-services is a new research direction in the area of web mining. Among all of the possible applications in web research, e-commerce and e-services have been identified as important domains for Web-mining techniques. Web-mining techniques also play an important role in e-commerce and eservices, proving to be useful tools for understanding how ecommerce and e-service Web sites and services are used. This book therefore collects new developments and high quality researches for the readers of this book to understand the topics of web mining applications in e-commerce and e-services as well as the state-of-the-arts in this area. The chapters in this book include web usage mining and user browsing behavior analysis, semantic web mining, web performance mining, web mining for users’ need understanding, web mining for social network analysis and web mining for P2P services.