Web Mining Applications in E-commerce and E-services [electronic resource] / edited by I-Hsien Ting, Hui-Ju Wu.

By: Ting, I-Hsien [editor.]Contributor(s): Wu, Hui-Ju [editor.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: Studies in Computational Intelligence: 172Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009Description: VIII, 182 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540880813Subject(s): Engineering | Artificial intelligence | Engineering mathematics | Management information systems | Engineering | Appl.Mathematics/Computational Methods of Engineering | Artificial Intelligence (incl. Robotics) | Business Information Systems | Operations Research/Decision TheoryAdditional physical formats: Printed edition:: No titleDDC classification: 519 LOC classification: TA329-348TA640-643Online resources: Click here to access online
Contents:
Online Mining of Web Usage Data: An Overview -- Semantically Enhanced Web Personalization -- Semantics-Based Analysis and Navigation of Heterogeneous Text Corpora: The Porpoise News and Blogs Engine -- Semantic Analysis of Web Site Audience by Integrating Web Usage Mining and Web Content Mining -- Towards Web Performance Mining -- Anticipate Site Browsing to Anticipate the Need -- User Behaviour Analysis Based on Time Spent on Web Pages -- Ranking Companies on the Web Using Social Network Mining -- Adaptive E-Services Selection in P2P-Based Workflow with Multiple Property Specifications -- Web Mining Techniques for On-Line Social Networks Analysis: An Overview.
In: Springer eBooksSummary: 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.
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Online Mining of Web Usage Data: An Overview -- Semantically Enhanced Web Personalization -- Semantics-Based Analysis and Navigation of Heterogeneous Text Corpora: The Porpoise News and Blogs Engine -- Semantic Analysis of Web Site Audience by Integrating Web Usage Mining and Web Content Mining -- Towards Web Performance Mining -- Anticipate Site Browsing to Anticipate the Need -- User Behaviour Analysis Based on Time Spent on Web Pages -- Ranking Companies on the Web Using Social Network Mining -- Adaptive E-Services Selection in P2P-Based Workflow with Multiple Property Specifications -- Web Mining Techniques for On-Line Social Networks Analysis: An Overview.

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.

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