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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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781439860847
  • Indbinding:
  • Hardback
  • Sideantal:
  • 496
  • Udgivet:
  • 15. juli 2013
  • Størrelse:
  • 164x246x30 mm.
  • Vægt:
  • 830 g.
  • 2-3 uger.
  • 14. december 2024
På lager
Forlænget returret til d. 31. januar 2025

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Beskrivelse af Practical Graph Mining with R

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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