What is included with this book?
Financial Forecasting Problem and Data Mining Techniques | p. 1 |
Genetic Algorithms and Genetic Niching | p. 5 |
Portfolio Selection and Optimization Using Genetic Operators | p. 25 |
The Rough Sets Theory Basics and Its Applications in Economic and Financial Forecasting | p. 41 |
Time Series Forecasting using Rough Sets Theory | p. 59 |
A Review of Support Vector Machines in Regression Estimation | p. 89 |
Application of Support Vector Machines in Financial Time Series Forecasting | p. 111 |
Other Methods and Their Applications | p. 131 |
References | p. 155 |
Index | p. 185 |
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The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.