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Data mining in finance : advances in relational and hybrid methods /

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Bibliographic Details
Main Author: Kovalerchuk, Boris
Corporate Author: SpringerLink (Online service)
Other Authors: Vityaev, Evgenii
Format: eBook
Language:English
Published: Boston : Kluwer Academic Publishers ; [2000]
Series:Kluwer international series in engineering and computer science ; SECS 547.
Subjects:
Investments > Data processing.
Stock price forecasting > Data processing.
Data mining.
BUSINESS & ECONOMICS > Banks & Banking.
Samfundsvidenskab > Økonomi.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • The scope and methods of the study
  • Numerical data mining models with financial applications
  • Rule-based and hybrid financial data mining
  • Relational data mining (RDM)
  • Financial applications of relational data mining
  • Comparison of performance of RDM and other methods in financial applications
  • Fuzzy logic approach and its financial applications.