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Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science Softcover reprint of the original 1st ed. 2002 edition
Boris Kovalerchuk
Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science Softcover reprint of the original 1st ed. 2002 edition
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
Mídia | Livros Paperback Book (Livro de capa flexível e brochura) |
Lançado | 20 de março de 2013 |
ISBN13 | 9781475773323 |
Editoras | Springer-Verlag New York Inc. |
Páginas | 308 |
Dimensões | 155 × 235 × 18 mm · 458 g |
Idioma | English |
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