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...
Saved in:
Online Access: |
Full Text (via Springer) |
---|---|
Main Author: | |
Other Authors: | |
Format: | eBook |
Language: | English |
Published: |
Boston, MA :
Kluwer Academic Publishers,
©2002.
|
Series: | International series in engineering and computer science ;
547. |
Subjects: |
Internet
Full Text (via Springer)Online
Call Number: |
HG4515.5
|
---|---|
HG4515.5 | Available |