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Managing and Mining Graph Data - ebooks1001 - 01-21-2024
![[Image: 27a47f38353c32060b1061aca1ad697e.jpeg]](https://i122.fastpic.org/big/2024/0121/7e/27a47f38353c32060b1061aca1ad697e.jpeg)
Free Download Managing and Mining Graph Data by Charu C. Aggarwal, Haixun Wang
English | PDF (True) | 2010 | 623 Pages |I SBN : 1441960449 | 7.9 MB
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.
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