Boris Kovalerchuk
Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science Boris Kovalerchuk 2000 edition

Name: Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science
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Author: Boris Kovalerchuk

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Softcover reprint of the original 1st ed. 2002 edition

(2013) $ 209,99

Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science

Boris Kovalerchuk

2000 edition

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 Hardcover Book (Libro con lomo y cubierta duros)
Publicado	30 de abril de 2000
ISBN13	9780792378044
Editores	Springer
Páginas	308
Dimensiones	156 × 234 × 19 mm · 594 g
Lengua	Inglés