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Managing and Mining Graph Data

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Cover of 'Managing and Mining Graph Data'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Graph Data
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    Chapter 2 Graph Data Management and Mining: A Survey of Algorithms and Applications
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    Chapter 3 Graph Mining: Laws and Generators
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    Chapter 4 Query Language and Access Methods for Graph Databases
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    Chapter 5 Graph Indexing
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    Chapter 6 Graph Reachability Queries: A Survey
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    Chapter 7 Exact and Inexact Graph Matching: Methodology and Applications
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    Chapter 8 A Survey of Algorithms for Keyword Search on Graph Data
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    Chapter 9 A Survey of Clustering Algorithms for Graph Data
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    Chapter 10 A Survey of Algorithms for Dense Subgraph Discovery
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    Chapter 11 Graph Classification
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    Chapter 12 Mining Graph Patterns
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    Chapter 13 A Survey on Streaming Algorithms for Massive Graphs
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    Chapter 14 A Survey of Privacy-Preservation of Graphs and Social Networks
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    Chapter 15 A Survey of Graph Mining for Web Applications
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    Chapter 16 Graph Mining Applications to Social Network Analysis
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    Chapter 17 Software-Bug Localization with Graph Mining
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    Chapter 18 A Survey of Graph Mining Techniques for Biological Datasets
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    Chapter 19 Trends in Chemical Graph Data Mining
Attention for Chapter 18: A Survey of Graph Mining Techniques for Biological Datasets
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