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) Íkr 25,939

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

Media	Books Hardcover Book (Book with hard spine and cover)
Released	April 30, 2000
ISBN13	9780792378044
Publishers	Springer
Pages	308
Dimensions	156 × 234 × 19 mm · 594 g
Language	English