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Descriptive Data Mining - Computational Risk Management David L. Olson Softcover reprint of the original 1st ed. 2017 edition
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Descriptive Data Mining - Computational Risk Management
David L. Olson
Chapter 2 covers data visualization, including directions for accessing R open source software (described through Rattle). Chapter 7 goes on to describe link analysis, social network metrics, and open source NodeXL software, and demonstrates link analysis application using PolyAnalyst output.
116 pages, 60 Illustrations, color; 3 Illustrations, black and white; XI, 116 p. 63 illus., 60 illus
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 5 juillet 2018 |
| ISBN13 | 9789811098475 |
| Éditeurs | Springer Verlag, Singapore |
| Pages | 116 |
| Dimensions | 150 × 220 × 10 mm · 190 g |
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