Managing and Mining Graph Data
Previously published in hardcover
Book Details
Format
Paperback / Softback
Book Series
Advances in Database Systems
ISBN-10
1461425603
ISBN-13
9781461425601
Edition
Previously published in hardcover
Publisher
Springer-Verlag New York Inc.
Imprint
Springer-Verlag New York Inc.
Country of Manufacture
US
Country of Publication
GB
Publication Date
Apr 6th, 2012
Print length
600 Pages
Weight
896 grams
Dimensions
23.50 x 15.70 x 3.30 cms
Product Classification:
Graphics programmingData miningInformation retrieval
Ksh 32,400.00
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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.
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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