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

Medie Bøger     Hardcover bog   (Bog med hård ryg og stift omslag)
Udgivet 30. april 2000
ISBN13 9780792378044
Forlag Springer
Antal sider 308
Mål 156 × 234 × 19 mm   ·   594 g
Sprog Engelsk  
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