Book
 Data Mining in Finance: Advances in Relational and
Hybrid Methods
by Boris Kovalerchuk and Evgenii Vityaev,
Kluwer Acad. Publ, 2000
The Kluwer International Series in Engineering and Computer Science ,
Vol. 547
ISBN: 0-7923-7804-0
Kluwer's prepublication flyer, 2000 (pdf)
Foreword by Gregory Piatetsky-Shapiro
CONTENTS
1. The Scope and Methods
of the Study
2. Numerical Data Mining
Models with Financial Applications
3. Rule-Based and Hybrid
Financial Data Mining
4. Relational Data Mining
(RDM)
5. Financial Applications
of Relational Data Mining
6. Comparison of
Performance of RDM and other methods in financial applications
7. Fuzzy logic approach
and its financial applications
Getting
the book:
Amazon.com
Barnes&Noble
Springer/Kluwer
|
1. The Scope and Methods of the Study
Contents
- Introduction
- Problem definition
- Data mining methodologies
- Modern methodologies in financial knowledge discovery
- Data mining and database management
- Data mining: definitions and practice
- Learning paradigms for data mining
- Intellectual challenges in data mining
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