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

Medie Bøger     Paperback Bog   (Bog med blødt omslag og limet ryg)
Udgivet 20. marts 2013
ISBN13 9781475773323
Forlag Springer-Verlag New York Inc.
Antal sider 308
Mål 155 × 235 × 18 mm   ·   458 g
Sprog Engelsk  
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