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.
Charu C. Aggarwal & Haixun Wang
Managing and Mining Graph Data
Managing and Mining Graph Data
Langue Anglais ● Format PDF ● Pages 600 ● ISBN 9781441960450 ● Taille du fichier 8.6 MB ● Éditeur Charu C. Aggarwal & Haixun Wang ● Maison d’édition Springer US ● Lieu NY ● Pays US ● Publié 2010 ● Téléchargeable 24 mois ● Devise EUR ● ID 2150155 ● Protection contre la copie DRM sociale