Managing and Mining Graph Data

• Corporate Author: SpringerLink (Online service)
• Other Authors: Aggarwal, Charu C. (Editor), Wang, Haixun. (Editor)
• Format: Electronic
• Language: English
• Published: Boston, MA : Springer US, 2010.
• Series: Advances in Database Systems, 40
• Subjects: Computer science.; Database management.; Data mining.; Information storage and retrieval systems.; Information systems.; Computer graphics.; Computer Science.; Database Management.; Data Mining and Knowledge Discovery.; Computer Graphics.; Information Storage and Retrieval.; Information Systems Applications (incl.Internet).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4419-6045-0

Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studie...

Table of Contents:

• Preface
• Introduction to Graph Data Management
• Graph Mining and Management Methods, Indexing Graph Data, Clustering Graph Data, Data Generators for Graphs, Pattern Mining, Classificaiton, Pattern Matching, Reachability Queries, Keyword Search, Web Graph Data, Chemical Data, Biological Data, Social Network Applications, XML Data, etc
• Index.