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Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science Boris Kovalerchuk Softcover reprint of the original 1st ed. 2002 edition
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Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science
Boris Kovalerchuk
Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining.
308 pages, biography
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 20 de marzo de 2013 |
| ISBN13 | 9781475773323 |
| Editores | Springer-Verlag New York Inc. |
| Páginas | 308 |
| Dimensiones | 155 × 235 × 18 mm · 458 g |
| Lengua | Inglés |
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