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๐Ÿ“

Managing and Mining Graph Data

โœ Scribed by Charu C. Aggarwal, Haixun Wang (auth.), Charu C. Aggarwal, Haixun Wang (eds.)


Publisher
Springer US
Year
2010
Tongue
English
Leaves
620
Series
Advances in database systems 40
Edition
1
Category
Library

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โœฆ Subjects


Database Management; Data Mining and Knowledge Discovery; Computer Graphics; Information Storage and Retrieval; Information Systems Applications (incl.Internet)


๐Ÿ“œ SIMILAR VOLUMES


Managing and Mining Graph Data
โœ Charu C. Aggarwal, Haixun Wang (auth.), Charu C. Aggarwal, Haixun Wang (eds.) ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› Springer US ๐ŸŒ English

<p><P><EM>Managing and Mining Graph Data</EM> 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.

Managing and Mining Graph Data
โœ Charu C. Aggarwal, Haixun Wang (auth.), Charu C. Aggarwal, Haixun Wang (eds.) ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› Springer US ๐ŸŒ English

<p><P><EM>Managing and Mining Graph Data</EM> 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.

Managing and mining graph data
โœ Charu C. Aggarwal, Haixun Wang (auth.), Charu C. Aggarwal, Haixun Wang (eds.) ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› Springer US ๐ŸŒ English

<p><P><EM>Managing and Mining Graph Data</EM> 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.

Mining graph data
โœ Cook D., Holder L. (eds.) ๐Ÿ“‚ Library ๐Ÿ“… 2006 ๐Ÿ› Wiley ๐ŸŒ English

This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided. Even if you have minimal background in analyzing graph data, with this book youโ€™ll be able to represent data as graphs, extract patt

Mining Graph Data
โœ Diane J. Cook, Lawrence B. Holder ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Wiley-Interscience ๐ŸŒ English

This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided. Even if you have minimal background in analyzing graph data, with this book you'll be able to represent data as graphs, extract patt