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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