Web Mining and Social Networking [electronic resource] :Techniques and Applications / by Guandong Xu, Yanchun Zhang, Lin Li.
by Xu, Guandong [author.]; Zhang, Yanchun [author.]; Li, Lin [author.]; SpringerLink (Online service).
Material type:
BookSeries: Web Information Systems Engineering and Internet Technologies Book Series: 6Publisher: Boston, MA : Springer US, 2011.Edition: 1.Description: XVII, 210 p. online resource.ISBN: 9781441977359.Subject(s): Computer science | Information storage and retrieval systems | Information systems | Computer Science | Information Systems Applications (incl.Internet) | Information Storage and Retrieval | User Interfaces and Human Computer InteractionDDC classification: 005.7 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QA76.76.A65 (Browse shelf) | Available |
Browsing MAIN LIBRARY Shelves Close shelf browser
| QA76.76.A65 Canadian Semantic Web | QA76.76.A65 Tile-Based Geospatial Information Systems | QA76.76.A65 Linking Enterprise Data | QA76.76.A65 Web Mining and Social Networking | QA76.76.A65 Data Driven e-Science | QA76.76.A65 Social Network Data Analytics | QA76.76.A65 Service Composition for the Semantic Web |
Part I Foundations: Introduction -- Theoretical Backgrounds -- Algorithms and Techniques -- Part II Web Mining Techniques and Applications: Web content mining -- Web Linkage Analysis -- Web Usage Mining -- Part III Web Community and Social Network Analysis: Techniques and Applications: Web Community Mining for Web Recommendation -- Social Network Analysis and Applications -- Conclusion -- References -- Index.
This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal sense of individuals or communities. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis.
There are no comments for this item.