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Data Mining for Social Network Data

Data Mining for Social Network Data

by David L. HicksJennifer Jie Xu Nasrullah Memon and others
Paperback
Publication Date: 09/07/2010

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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.
ISBN:
9781441962867
9781441962867
Category:
Business mathematics & systems
Format:
Paperback
Publication Date:
09-07-2010
Language:
English
Publisher:
Springer-Verlag New York Inc.
Country of origin:
United States
Pages:
216
Dimensions (mm):
235x155x12mm
Weight:
0.72kg

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