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© LIBERO v6.4.1sp220816
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Visual Explorations in Finance: with Self-Organizing Maps /
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Catalogue Record 41980
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Catalogue Information
Field name
Details
Dewey Class
519
Title
Visual Explorations in Finance ([EBook] :) : with Self-Organizing Maps / / edited by Guido Deboeck, Teuvo Kohonen.
Added Personal Name
Deboeck, Guido
editor.
Kohonen, Teuvo
editor.
Other name(s)
SpringerLink (Online service)
Publication
London : : Springer London : : Imprint: Springer, , 1998.
Physical Details
XLV, 258 p. 135 illus., 13 illus. in color. : online resource.
Series
Springer finance
1616-0533
ISBN
9781447139133
Summary Note
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.:
Contents note
1: 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-Organizing Maps: A Case Study of China -- 2: 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 -- Author Index.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-1-4471-3913-3
Links to Related Works
Subject References:
Atomic, Molecular, Optical and Plasma Physics
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Atoms
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Economics, Mathematical
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Finance
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Finance, general
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Mathematics
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Physics
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Quantitative Finance
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Authors:
Deboeck, Guido
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Kohonen, Teuvo
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Corporate Authors:
SpringerLink (Online service)
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Series:
Springer finance
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Classification:
519
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