Data mining for social network data / Nasrullah Memon ... [et al.], editors.
"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 i...
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| Other Authors: | |
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| Format: | Ebook |
| Language: | English |
| Published: |
New York ; London :
Springer,
c2010.
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| Series: | Annals of information systems ;
v. 12. |
| Subjects: | |
| Online Access: | Springer eBooks |
| 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."--Publisher's website. |
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| Item Description: | Description based on print version record. |
| Physical Description: | 1 electronic document (ix, 215 p.) : ill. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 1282925237 1441962875 9781282925236 9781441962874 |
| ISSN: | 1934-3221 ; |