Practical Graph Mining with R

Practical Graph Mining with R
Author: Nagiza F. Samatova
Publisher: CRC Press
Total Pages: 495
Release: 2013-07-15
Genre: Business & Economics
ISBN: 1439860858

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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


Practical Graph Mining with R
Language: en
Pages: 495
Authors: Nagiza F. Samatova
Categories: Business & Economics
Type: BOOK - Published: 2013-07-15 - Publisher: CRC Press

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Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interes
Practical Graph Mining with R
Language: en
Pages: 0
Authors: William Hendrix
Categories:
Type: BOOK - Published: 2013 - Publisher:

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Discover Novel and Insightful Knowledge from Data Represented as a Graph Practical Graph Mining with R presents a "do-it-yourself" approach to extracting intere
Mining Graph Data
Language: en
Pages: 501
Authors: Diane J. Cook
Categories: Technology & Engineering
Type: BOOK - Published: 2006-12-18 - Publisher: John Wiley & Sons

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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 pr
Practical Graph Mining with R
Language: en
Pages: 495
Authors: Nagiza F. Samatova
Categories: Business & Economics
Type: BOOK - Published: 2013-07-15 - Publisher: Chapman and Hall/CRC

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Discover Novel and Insightful Knowledge from Data Represented as a Graph Practical Graph Mining with R presents a "do-it-yourself" approach to extracting intere
Data Mining with R
Language: en
Pages: 426
Authors: Luis Torgo
Categories: Business & Economics
Type: BOOK - Published: 2016-11-30 - Publisher: CRC Press

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Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive upda