Practical Graph Mining with R (eBook, PDF)

Redaktion: Samatova, Nagiza F.; Chakraborty, Arpan; Padmanabhan, Kanchana; Jenkins, John; Hendrix, William

• Format: PDF

Produktbeschreibung

Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or cluste

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 495
• Erscheinungstermin: 15. Juli 2013
• Englisch
• ISBN-13: 9781439860854
• Artikelnr.: 57101536

Autorenporträt

Nagiza F. Samatova is an associate professor of computer science at North Carolina State University and a senior research scientist at Oak Ridge National Laboratory.

Inhaltsangabe

Introduction. An Introduction to Graph Theory. An Introduction to R. An
Introduction to Kernel Functions. Link Analysis. Graph-Based Proximity
Measures. Frequent Subgraph Mining. Cluster Analysis. Classification.
Dimensionality Reduction. Graph-Based Anomaly Detection. Performance
Metrics for Graph Mining Tasks. Introduction to Parallel Graph Mining.
Index.