| 书目名称 | Data Mining for Social Network Data | | 编辑 | Nasrullah Memon,Jennifer Jie Xu,Hsinchun Chen | | 视频video | | | 概述 | Using machine learning techniques to analyze social networks.A multidisciplinary source, which will draw the interest of researchers and students in sociology, computer science and statistics.The rese | | 丛书名称 | Annals of Information Systems | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2010 | | 关键词 | Mapping; Simulation; algorithms; calculus; data mining; information science; learning; machine learning; mod | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-6287-4 | | isbn_softcover | 978-1-4419-6286-7 | | isbn_ebook | 978-1-4419-6287-4Series ISSN 1934-3221 Series E-ISSN 1934-3213 | | issn_series | 1934-3221 | | copyright | Springer Science+Business Media, LLC 2010 |
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发表于 2025-3-21 16:34:01
