Data Mining in Finance Advances in Relational and Hybrid Methods

Data Mining in Finance Advances in Relational and Hybrid Methods / by Boris Kovalerchuk, Evgenii Vityaev.

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 fo...

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Bibliographic Details
Main Authors:	Kovalerchuk, Boris (Author), Vityaev, Evgenii (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	New York, NY : Springer US : Imprint: Springer, 2000.
Edition:	1st ed. 2000.
Series:	The Springer International Series in Engineering and Computer Science, 547 Springer eBook Collection.
Subjects:	Data structures (Computer science). Artificial intelligence. Finance. Electronic resources (E-books)
Online Access:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.

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