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Managing and Mining Graph Data

He has worked as a researcher at IBM since then, and has published over 130 papers in major data mining conferences and journals. He has applied for or been granted over 70 US and International patents, and has thrice been designated a Master Inventor at IBM. He has received an IBM Corporate award f...

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Bibliographic Details
Other Authors: Aggarwal, Charu C. (Editor), Wang, Haixun (Editor)
Format: eBook
Language:English
Published: New York, NY Springer US 2010, 2010
Edition:1st ed. 2010
Series:Advances in Database Systems
Subjects:
Computer Graphics
Information Storage And Retrieval
Database Management
Data Mining
Application Software
Information Storage And Retrieval Systems
Data Mining And Knowledge Discovery
Computer And Information Systems Applications
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • An Introduction to Graph Data
  • Graph Data Management and Mining: A Survey of Algorithms and Applications
  • Graph Mining: Laws and Generators
  • Query Language and Access Methods for Graph Databases
  • Graph Indexing
  • Graph Reachability Queries: A Survey
  • Exact and Inexact Graph Matching: Methodology and Applications
  • A Survey of Algorithms for Keyword Search on Graph Data
  • A Survey of Clustering Algorithms for Graph Data
  • A Survey of Algorithms for Dense Subgraph Discovery
  • Graph Classification
  • Mining Graph Patterns
  • A Survey on Streaming Algorithms for Massive Graphs
  • A Survey of Privacy-Preservation of Graphs and Social Networks
  • A Survey of Graph Mining for Web Applications
  • Graph Mining Applications to Social Network Analysis
  • Software-Bug Localization with Graph Mining
  • A Survey of Graph Mining Techniques for Biological Datasets
  • Trends in Chemical Graph Data Mining

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