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Data Mining in Finance: Advances in Relational and Hybrid Methods
Posted on 2010-04-13
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Paperback: 328 pages
Publisher: Springer; 1 edition (March 1, 2000) Language: English ISBN-10: 0792378040 ISBN-13: 978-0792378044 Format: PDF Description: 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. The book focuses specifically on relational data mining (RDM)
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