{
"item_title" : "Practical Graph Mining with R",
"item_author" : [" Nagiza F. Samatova", "William Hendrix", "John Jenkins "],
"item_description" : "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.",
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Practical Graph Mining with R
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.
This item is Non-Returnable
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Details
- ISBN-13: 9781439860847
- ISBN-10: 143986084X
- Publisher: CRC Press
- Publish Date: July 2013
- Dimensions: 9.3 x 6.1 x 1.2 inches
- Shipping Weight: 1.85 pounds
- Page Count: 496
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