Mining graph data /
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, N.J. :
Wiley-Interscience,
[2007]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Graph matching : exact and error-tolerant methods and the automatic learning of edit costs / Horst Bunke, Michel Neuhaus
- Graph visualization and data mining / Walter Didimo, Giuseppe Liotta
- Graph patterns and the R-Mat generator / Deepayan Chakrabarti, Christos Faloutsos
- Discovery of frequent substructures / Xifeng Yan, Jiawei Han
- Finding topological frequent patterns from graph datasets / Michihiro Kuramochi, George Karypis
- Unsupervised and supervised pattern learning in graph data / Diane J. Cook, Lawrence B. Holder, Nikhil Ketkar
- Graph grammar learning / Istvan Jonyer
- Constructing decision tree based on chunkingless graph-based induction / Kouzou Ohara, Phu Chien Nguyen, Akira Mogi, Hiroshi Motoda, Takashi Washio
- Some links between formal concept analysis and graph mining / Michel Liquière
- Kernel methods for graphs / Thomas Gärtner, Tamás Horváth, Quoc V. Le, Alex J. Smola, Stefan Wrobel
- Kernels as link analysis measures / Masashi Shimbo, Takahiko Ito
- Entity resolution in graphs / Indrajit Bhattacharya, Lise Getoor
- Mining from chemical graphs / Takashi Okada
- Unified approach to rooted tree mining : algorithms and applications / Mohammed Zaki
- Dense subgraph extraction / David Gibson, Ravi Kumar, Kevin S. McCurley, Andrew Tomkins
- Social network analysis / Sherry E. Marcus, Melanie Moy, Thayne Coffman.