Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science - Boris Kovalerchuk - Books - Springer-Verlag New York Inc. - 9781475773323 - March 20, 2013
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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

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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

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     Paperback Book   (Book with soft cover and glued back)
Released March 20, 2013
ISBN13 9781475773323
Publishers Springer-Verlag New York Inc.
Pages 308
Dimensions 155 × 235 × 18 mm   ·   458 g
Language English  
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