Data Mining in Finance Advances in Relational and Hybrid Methods /
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...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic |
| Language: | English |
| Published: |
Boston, MA :
Springer US,
2002.
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| Series: | The International Series in Engineering and Computer Science,
547 |
| Subjects: | |
| Online Access: | View fulltext via EzAccess |