| 書(shū)目名稱 | Managing and Mining Graph Data | | 編輯 | Charu C. Aggarwal,Haixun Wang | | 視頻video | http://file.papertrans.cn/624/623264/623264.mp4 | | 概述 | Edited volume combines research in one, easily-accessible resource.Each chapter serves as point of entry into a specific topic.Includes supplementary material: | | 叢書(shū)名稱 | Advances in Database Systems | | 圖書(shū)封面 |  | | 描述 | .Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by well known researchers in the field, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing. .Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science and engineering.. | | 出版日期 | Book 2010 | | 關(guān)鍵詞 | Clustering; Graph; Information Retrieval; Managing; Mining; algorithm; biological datasets; chemical graph | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-6045-0 | | isbn_softcover | 978-1-4614-2560-1 | | isbn_ebook | 978-1-4419-6045-0Series ISSN 1386-2944 | | issn_series | 1386-2944 | | copyright | Springer-Verlag US 2010 |
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