Springer Perception-based Data Mining in Economics and Finance

Explore advanced methods for solving complex financial problems with this specialized volume from Springer. Part of the Studies in Computational Intelligence series, this book provides the scientific and management communities with a deep look into recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models. Readers will find a comprehensive overview of data mining tools and techniques specifically designed for economic and financial applications. The text addresses the need for more human-consistent decision support by covering fuzzy and natural language-based approaches. By integrating these advanced computing techniques, the book offers solutions for time series analysis and other essential economic challenges. This resource is a valuable addition for professionals and researchers looking to apply modern computational intelligence to the evolving landscapes of finance and economics.