Practical Graph Mining with R

Book Overview

Assuming no prior knowledge of mathematics or data mining, this self-contained book presents a "do-it-yourself" approach to extracting interesting patterns from graph data. Each chapter focuses on a graph mining task, such as link analysis, cluster analysis, and classification. Through many applications, the book demonstrates how computational techniques can help solve real-world problems. Every algorithm and example is accompanied with R code, allowing readers to see how the algorithmic techniques correspond to the process of graph data analysis and to use the graph mining techniques in practice.

• Format: Hardcover
• Language: English
• ISBN: 143986084X
• ISBN13: 9781439860847
• Release Date: July 2013
• Publisher: CRC Press
• Length: 496 Pages
• Weight: 1.85 lbs.
• Dimensions: 1.2" x 6.1" x 9.3"