Managing and mining graph data

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.