Visual Explorations in Finance : with Self-Organizing Maps /
Self-organizing maps (SOM) have proven to be of significant economic value in the areas of finance, economic and marketing applications. As a result, this area is rapidly becoming a non-academic technology. This book looks at near state-of-the-art SOM applications in the above areas, and is a multi-...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
London :
Springer London,
1998.
|
| Series: | Springer finance.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Introduction
- Applications: Let Financial Data speak for themselves. Projection of long-term interest rates with maps. Picking mutual funds with self-organizing maps. Maps for analysing failures of small and medium sized enterprises. Self-organizing atlas of Russian Banks
- Investment maps of emerging markets. An hybrid neural network system for trading financial markets. Real Estate investment analysis and appraisals of land properties. Real estate investment appraisals of buildings. Differential patterns in consumer purchase preferences using self-organizing maps: a case study of China. SOM Methodology, Software Tools and Techniques: The SOM Methodology. Self-organizing maps of large document collections. Software tools for self-organizing maps. Tips for processing and colourcoding of self-organizing maps. Best practices in data mining using self-organizing maps.