Data Mining In Finance Advances In Relational And Hybrid Method

357 21 18MB

English Pages 323 Year 2000

Table of contents :
front-matter......Page 2
1The scope and methods of the study......Page 16
2Numerical Data Mining Models and Financial Applications......Page 36
3Rule-Based and Hybrid Financial Data Mining......Page 86
4Relational Data Mining (RDM)......Page 130
5Financial Applications of Relational Data Mining......Page 204
6Comparison of Performance of RDM and other methods in financial applications......Page 234
7Fuzzy logic approach and its financial applications......Page 246
back-matter......Page 300

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DATA MINING IN FINANCE Advances in Relational and Hybrid Methods

The Kluwer International Series in Engineering and Computer Science

DATA MINING IN FINANCE Advances in Relational and Hybrid Methods

by BORIS KOVALERCHUK

Central Washington University, USA

and EVGENII VITYAEV

Institute of Mathematics

Russian Academy of Sciences, Russia

KLUWER ACADEMIC PUBLISHERS NEW YORK, BOSTON, DORDRECHT, LONDON, MOSCOW

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70187 792378040

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