Data Mining for Social Network Data is popular PDF and ePub book, written by Nasrullah Memon in 2010-07-14, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Data Mining for Social Network Data can be Read Online from any device for your convenience.
Data Mining for Social Network Data Book PDF Summary
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.
Detail Book of Data Mining for Social Network Data PDF
- Author : Nasrullah Memon
- Release : 14 July 2010
- Publisher : Springer
- ISBN : 1441962883
- Genre : Business & Economics
- Total Page : 216 pages
- Language : English
- PDF File Size : 13,6 Mb
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