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Description of Visual Explorations in Finance |
This volume, edited by Guido Deboeck, a well-known exponent of the use of computational intelligence methods in finance, and by Teuvo Kohonen, the originator of self-organizing maps (SOM), provides a leading edge look at improved methods for data mining and data visualization.
Aimed at business, financial and marketing professionals, this book is essential reading for all practitioners of knowledge management, data mining or the use of neural networks for finding novel structures and patterns in data.
Many issues in finance, economics and marketing require dealing with multi-dimensional data. The use of SOM is a neural network technique, invented by Teuvo Kohonen, that creates reduced visual displays of multi-dimensions. SOM have been applied with great success in engineering and many other technical fields.
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Contents of Visual Explorations in Finance |
Contributing Authors
Introduction
Part I: Applications
1. Let Financial Data Speak for Themselves
2. Projection of Long-term Interest Rates with Maps
3. Picking Mutual Funds with Self-Organizing Maps
4. Maps for Analyzing Failures of Small and Medium-sized Enterprises
5. Self-Organizing Atlas of Russian Banks
6. Investment Maps of Emerging Markets
7. A Hybrid Neural Network System for Trading Financial Markets
8. Real Estate Investment Appraisal of Land Properties using SOM
9. Real Estate Investment Appraisal of Buildings using SOM
10. Differential Patterns in Consumer Purchase Preferences using Self-Organising Maps: A Case Study of China
Part II: Methodology, Tools and Techniques
11. The SOM Methodology
12. Self-Organizing Maps of Large Document Collections
13. Software Tools for Self-Organizing Maps
14. Tips for Processing and Color-coding of Self-Organizing Maps
15. Best Practices in Data Mining using Self-Organizing Maps
Notes
Glossary
Bibliography
Subject Index
Author Index
Website Index
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