Data Mining in Finance: Advances in Relational and Hybrid Methods
Boris Kovalerchuk, Evgenii E. Vityaev · Thammasat University Digital Collections · 2013
Foreword G. Piatetsky-Shapiro. Preface. Acknowledgements. 1. The Scope and Methods of the Study. 2. Numerical Data Mining Models with Financial Applications. 3. Rule-Based and Hybrid Financial Data Mining. 4. Relational Data Mining (RDM). 5. Financial Applications of Relational Data Mining. 6. Comparison of Performance of RDM and other methods in financial applications. 7. Fuzzy logic approach and its financial applications. References. Subject Index.