Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science - Boris Kovalerchuk - Bøker - Springer - 9780792378044 - 30. april 2000
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Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science 2000 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 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 Bøker     Innbunden bok   (Bok med hard rygg og stivt omslag)
Utgitt 30. april 2000
ISBN13 9780792378044
Utgivere Springer
Antall sider 308
Mål 156 × 234 × 19 mm   ·   594 g
Språk Engelsk  
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