Data Mining for Social Network Data

Name: Data Mining for Social Network Data
SKU: 7175368
Price: 268.99 AUD
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Format:

Paperback / softback

Series:

Annals of Information Systems

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Description

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis. It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, activities in open for a and commercial sites as well. It will also look at network modeling, infrastructure construction, dynamic growth and evolution pattern discovery using machine learning approaches and multi-agent based simulations. Editors are three rising stars in world of data mining, knowledge discovery, social network analysis, and information infrastructures, and are anchored by Springer author/editor Hsinchun Chen (Terrorism Informatics; Medical Informatics; Digital Government), who is one of the most prominent intelligence analysis and data mining experts in the world.

Release date Australia

July 9th, 2010

Audience

Professional & Vocational

Contributors

Edited by David L. Hicks
Edited by Hsinchun Chen
Edited by Jennifer Jie Xu
Edited by Nasrullah Memon

Illustrations

68 Illustrations, black and white; X, 216 p. 68 illus.

Pages

216

Series

Annals of Information Systems

Dimensions

156x234x12

ISBN-13

9781441962867

Product ID

7175368

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Data Mining for Social Network Data

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