Ebook: 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-authored volume, edited by Guido Deboeck, a leading exponent in the use of computational methods in financial and economic forecasting, and by the originator of SOM, Teuvo Kohonen. The book contains chapters on applications of unsupervised neural networks using Kohonen's self-organizing map approach.

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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-authored volume, edited by Guido Deboeck, a leading exponent in the use of computational methods in financial and economic forecasting, and by the originator of SOM, Teuvo Kohonen. The book contains chapters on applications of unsupervised neural networks using Kohonen's self-organizing map approach.

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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-authored volume, edited by Guido Deboeck, a leading exponent in the use of computational methods in financial and economic forecasting, and by the originator of SOM, Teuvo Kohonen. The book contains chapters on applications of unsupervised neural networks using Kohonen's self-organizing map approach.
Content:
Front Matter....Pages i-xlv
Front Matter....Pages 1-1
Let Financial Data Speak for Themselves....Pages 3-23
Projection of Long-term Interest Rates with Maps....Pages 24-38
Picking Mutual Funds with Self-Organizing Maps....Pages 39-58
Maps for Analyzing Failures of Small and Medium-sized Enterprises....Pages 59-71
Self-Organizing Atlas of Russian Banks....Pages 72-82
Investment Maps of Emerging Markets....Pages 83-105
A Hybrid Neural Network System for Trading Financial Markets....Pages 106-116
Real Estate Investment Appraisal of Land Properties using SOM....Pages 117-127
Real Estate Investment Appraisal of Buildings using SOM....Pages 128-140
Differential Patterns in Consumer Purchase Preferences using Self-Organizing Maps: A Case Study of China....Pages 141-156
Front Matter....Pages 157-157
The SOM Methodology....Pages 159-167
Self-Organizing Maps of Large Document Collections....Pages 168-178
Software Tools for Self-Organizing Maps....Pages 179-194
Tips for Processing and Color-coding of Self-Organizing Maps....Pages 195-202
Best Practices in Data Mining using Self-Organizing Maps....Pages 203-229
Back Matter....Pages 230-258

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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-authored volume, edited by Guido Deboeck, a leading exponent in the use of computational methods in financial and economic forecasting, and by the originator of SOM, Teuvo Kohonen. The book contains chapters on applications of unsupervised neural networks using Kohonen's self-organizing map approach.
Content:
Front Matter....Pages i-xlv
Front Matter....Pages 1-1
Let Financial Data Speak for Themselves....Pages 3-23
Projection of Long-term Interest Rates with Maps....Pages 24-38
Picking Mutual Funds with Self-Organizing Maps....Pages 39-58
Maps for Analyzing Failures of Small and Medium-sized Enterprises....Pages 59-71
Self-Organizing Atlas of Russian Banks....Pages 72-82
Investment Maps of Emerging Markets....Pages 83-105
A Hybrid Neural Network System for Trading Financial Markets....Pages 106-116
Real Estate Investment Appraisal of Land Properties using SOM....Pages 117-127
Real Estate Investment Appraisal of Buildings using SOM....Pages 128-140
Differential Patterns in Consumer Purchase Preferences using Self-Organizing Maps: A Case Study of China....Pages 141-156
Front Matter....Pages 157-157
The SOM Methodology....Pages 159-167
Self-Organizing Maps of Large Document Collections....Pages 168-178
Software Tools for Self-Organizing Maps....Pages 179-194
Tips for Processing and Color-coding of Self-Organizing Maps....Pages 195-202
Best Practices in Data Mining using Self-Organizing Maps....Pages 203-229
Back Matter....Pages 230-258
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