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