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130626 ||| eng |
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|a 9781441960450
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| 100 |
1 |
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|a Aggarwal, Charu C.
|e [editor]
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| 245 |
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|a Managing and Mining Graph Data
|h Elektronische Ressource
|c edited by Charu C. Aggarwal, Haixun Wang
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| 250 |
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|a 1st ed. 2010
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| 260 |
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|a New York, NY
|b Springer US
|c 2010, 2010
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| 300 |
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|a XXII, 600 p. 20 illus
|b online resource
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| 505 |
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|a An Introduction to Graph Data -- Graph Data Management and Mining: A Survey of Algorithms and Applications -- Graph Mining: Laws and Generators -- Query Language and Access Methods for Graph Databases -- Graph Indexing -- Graph Reachability Queries: A Survey -- Exact and Inexact Graph Matching: Methodology and Applications -- A Survey of Algorithms for Keyword Search on Graph Data -- A Survey of Clustering Algorithms for Graph Data -- A Survey of Algorithms for Dense Subgraph Discovery -- Graph Classification -- Mining Graph Patterns -- A Survey on Streaming Algorithms for Massive Graphs -- A Survey of Privacy-Preservation of Graphs and Social Networks -- A Survey of Graph Mining for Web Applications -- Graph Mining Applications to Social Network Analysis -- Software-Bug Localization with Graph Mining -- A Survey of Graph Mining Techniques for Biological Datasets -- Trends in Chemical Graph Data Mining
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| 653 |
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|a Computer graphics
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| 653 |
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|a Computer Graphics
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| 653 |
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|a Information Storage and Retrieval
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| 653 |
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|a Database Management
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| 653 |
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|a Data mining
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| 653 |
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|a Application software
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| 653 |
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|a Information storage and retrieval systems
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| 653 |
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|a Data Mining and Knowledge Discovery
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| 653 |
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|a Computer and Information Systems Applications
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| 653 |
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|a Database management
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| 700 |
1 |
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|a Wang, Haixun
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Advances in Database Systems
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| 028 |
5 |
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|a 10.1007/978-1-4419-6045-0
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| 856 |
4 |
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|u https://doi.org/10.1007/978-1-4419-6045-0?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 006.312
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| 520 |
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|a He has worked as a researcher at IBM since then, and has published over 130 papers in major data mining conferences and journals. He has applied for or been granted over 70 US and International patents, and has thrice been designated a Master Inventor at IBM. He has received an IBM Corporate award for his work on data stream analytics, and an IBM Outstanding Innovation Award for his work on privacy technology. He has served on the executive committees of most major data mining conferences. He has served as an associate editor of the IEEE TKDE, as an associate editor of the ACM SIGKDD Explorations, and as an action editor of the DMKD Journal. He is a fellow of the IEEE, and a life-member of the ACM. Haixun Wang is currently a researcher at Microsoft Research Asia. He received the B.S. and the M.S. degree, both in computer science, from Shanghai Jiao Tong University in 1994 and 1996. He received the Ph.D. degree in computer science from the University of California, Los Angeles in 2000.
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| 520 |
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|a He subsequently worked as a researcher at IBM until 2009. His main research interest is database language and systems, data mining, and information retrieval. He has published more than 100 research papers in referred international journals and conference proceedings. He serves as an associate editor of the IEEE TKDE, and has served as a reviewer and program committee member of leading database conferences and journals
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| 520 |
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|a Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on 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 leading researchers, 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. About the Editors: Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996.
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