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✦   LIBER   ✦

πŸ“

Web Mining Applications in E-commerce and E-services

✍ Scribed by Peter I. Hofgesang (auth.), I-Hsien Ting, Hui-Ju Wu (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2009
Tongue
English
Leaves
187
Series
Studies in Computational Intelligence 172
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages -
Online Mining of Web Usage Data: An Overview....Pages 1-24
Semantically Enhanced Web Personalization....Pages 25-44
Semantics-Based Analysis and Navigation of Heterogeneous Text Corpora: The Porpoise News and Blogs Engine....Pages 45-64
Semantic Analysis of Web Site Audience by Integrating Web Usage Mining and Web Content Mining....Pages 65-80
Towards Web Performance Mining....Pages 81-102
Anticipate Site Browsing to Anticipate the Need....Pages 103-116
User Behaviour Analysis Based on Time Spent on Web Pages....Pages 117-136
Ranking Companies on the Web Using Social Network Mining....Pages 137-152
Adaptive E-Services Selection in P2P-Based Workflow with Multiple Property Specifications....Pages 153-168
Web Mining Techniques for On-Line Social Networks Analysis: An Overview....Pages 169-179
Back Matter....Pages -

✦ Subjects


Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Business Information Systems; Operations Research/Decision Theory


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