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
语言 英语 ● 格式 PDF ● 网页 600 ● ISBN 9781441960450 ● 文件大小 8.6 MB ● 编辑 Charu C. Aggarwal & Haixun Wang ● 出版者 Springer US ● 市 NY ● 国家 US ● 发布时间 2010 ● 下载 24 个月 ● 货币 EUR ● ID 2150155 ● 复制保护 社会DRM