Practical Graph Mining with R

  • ISBN 13:


  • ISBN 10:


  • Edition: 1st
  • Format: Hardcover
  • Copyright: 07/15/2013
  • Publisher: Chapman & Hall

Note: Not guaranteed to come with supplemental materials (access cards, study guides, lab manuals, CDs, etc.)

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Integrating two important aspects of computer science (graph-based modeling and data mining techniques), this book provides a practical, do-it-yourself approach for extracting interesting patterns from graph data. The self-contained text requires no prerequisite knowledge of data mining and includes many worked examples, exercises with solutions, and real-world applications and data sets. Each algorithm is presented with accompanying R code. A supporting website features additional resources, including PowerPoint slides, R code, and data sets.

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