Visual Explorations in Finance: With Self-Organizing Maps Deboeck, Guido and Kohonen, Teuvo

ISBN 10: 3540762663 / ISBN 13: 9783540762669

Editore: Springer, 1998

Riguardo questo articolo

Visual explorations in finance | P. Wilmott | Springer, 2000. In-8° cartonné, 258 pages. Couverture propre. Dos solide. Intérieur frais sans soulignage ou annotation. Exemplaire de bibliothèque : petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l'intérieur de l'ouvrage. Très bon état général pour cet ouvrage [Ba 41].

Codice articolo 1220S31P3I5

Dati bibliografici

• Titolo: Visual Explorations in Finance: With Self-Organizing Maps Deboeck, Guido and Kohonen, Teuvo
• Editore: Springer
• Data di pubblicazione: 1998
• Lingua: Inglese
• ISBN 10: 3540762663
• ISBN 13: 9783540762669
• Rilegatura: Hardcover
• Condizione: Used: Very Good

Descrizione articolo

Riassunto

Edited by Guido Deboeck, a leading exponent in the use of computation intelligence methods in finance and economic forecasting, and the originator of SOM, Teuvo Kohonen. An 8-page color section makes this book unique, colorful and exciting to read. Each chapter contains exercises and solutions, perfectly suited to aid self-study.

Contenuti

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.