Managing and Mining Graph Data (Advances in Database Systems #40) (Paperback)

Before placing an order, please note:

  • You'll receive a confirmation email once your order is complete and ready for pickup. 
  • If you have a membership, please make a note of this in the order comments and we'll apply your discount.
  • Online orders are nonrefundable and cannot be exchanged.
  • If you place a pre-order to be shipped in the same order as currently available titles, an additional shipping fee will be added to your order.  
  • Women & Children First is not responsible for lost or stolen packages.
Managing and Mining Graph Data (Advances in Database Systems #40) By Charu C. Aggarwal (Editor), Haixun Wang (Editor) Cover Image
By Charu C. Aggarwal (Editor), Haixun Wang (Editor)


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.

Product Details
ISBN: 9781461425601
ISBN-10: 1461425603
Publisher: Springer
Publication Date: April 6th, 2012
Pages: 600
Language: English
Series: Advances in Database Systems