Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science - Boris Kovalerchuk - Books - Springer - 9780792378044 - April 30, 2000
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Boris Kovalerchuk
Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science 2000 edition

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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   ·   658 g
Language English  

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