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Practical Graph Mining with R - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series Nagiza F Samatova 1.º edición
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Practical Graph Mining with R - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series
Nagiza F Samatova
Integrating two important aspects of computer science (graph-based modelling and data mining techniques), this book provides a do-it-yourself approach for extracting interesting patterns from graph data. It requires no prerequisite knowledge of data mining and includes worked examples, exercises with solutions, and real-world applications.
495 pages, 168 black & white illustrations, 45 black & white tables
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 15 de julio de 2013 |
| ISBN13 | 9781439860847 |
| Editores | Taylor & Francis Inc |
| Género | Aspects (Academic) > Science / Technology Aspects |
| Páginas | 496 |
| Dimensiones | 164 × 246 × 30 mm · 830 g |
| Lengua | Inglés |
| Editor | Chakraborty, Arpan (North Carolina State University, Raleigh, USA) |
| Editor | Hendrix, William |
| Editor | Jenkins, John |
| Editor | Padmanabhan, Kanchana |
| Editor | Samatova, Nagiza F. (North Carolina State University and Oak Ridge National Laboratory, Raleigh, USA) |
