Business Services Industry
Mining Graph Data Available Now
Business Wire, Jan 22, 2008
DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c80299) has announced the addition of "Mining Graph Data" to their offering.
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.
About the Author
DIANE J. COOK, PhD, is the Huie-Rogers Chair Professor in the School of Electrical Engineering and Computer Science at Washington State University. Her extensive research in artificial intelligence and data mining has been supported by grants from the National Science Foundation, NASA, DARPA, and Texas Instruments. Dr. Cook is the coauthor of Smart Environments: Technology, Protocols, and Applications.
LAWRENCE B. HOLDER, PhD, is Professor in the School of Electrical Engineering and Computer Science at Washington State University, where he teaches and conducts research in artificial intelligence, machine learning, data mining, graph theory, parallel and distributed processing, and cognitive architectures.
Topics Covered:
* Graph Matching--Exact And Error-Tolerant Methods And The Automatic Learning Of Edit Costs
* Graph Visualization And Data Mining
* Graph Patterns And The R-Mat Generator
* Discovery Of Frequent Substructures
* Finding Topological Frequent Patterns From Graph Datasets
* Unsupervised And Supervised Pattern Learning In Graph Data
* Graph Grammar Learning
* Constructing Decision Tree Based On Chunkingless Graph-Based Induction
* Some Links Between Formal Concept Analysis And Graph Mining
* Kernel Methods For Graphs
* Kernels As Link Analysis Measures
* Entity Resolution In Graphs
* Mining From Chemical Graphs
* Unified Approach To Rooted Tree Mining: Algorithms And Applications
* Dense Subgraph Extraction
* Social Network Analysis
For more information, visit http://www.researchandmarkets.com/reports/c80299
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