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 youโll be able to represent data as graphs, extract patt
Mining Graph Data
โ Scribed by Diane J. Cook, Lawrence B. Holder
- Publisher
- Wiley-Interscience
- Year
- 2007
- Tongue
- English
- Leaves
- 502
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 patterns and concepts from the data, and apply the methodologies presented in the text to real datasets.
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<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.
<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.
<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.