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Data Mining in Finance - a book by Kovalerchuk, Boris

Data Mining in Finance

Advances in Relational and Hybrid Methods

Data Mining in Finance( )
Author: Kovalerchuk, Boris
Vityaev, Evgenii
Series title:The Springer International Series in Engineering and Computer Science Ser.
Publication Date:Mar 2013
Book Format:Paperback
List Price:USD $319.00
Book 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), which is a learning method able to learn more expressive rules than other symbolic approaches. RDM is thus better suited for financial...
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Book Details
Detailed Subjects: Business & Economics / Investments & Securities / General
Business & Economics / Investments & Securities / Analysis & Trading Strategies
Computers / Databases / Data Mining
Physical Dimensions (W X L X H):6.045 x 9.165 x 0.269 Inches
Book Weight:1.109 Pounds

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