£107.98

Springer Perception-based Data Mining in Economics and Finance

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Description

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.

Key Features

Covers essential data mining tools and techniques tailored for economic and financial analysis and practical applications.

Explores Soft Computing (SC) and Computing with Words and Perceptions (CWP) models to solve important financial problems.

Provides fuzzy and natural language-based approaches to create more human-consistent decision support systems.

Includes specialized methods for time series analysis and other significant economic modeling tasks.

Serves as a technical resource for both the scientific and management communities interested in computational intelligence.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 November 2010
Listed Since
20 September 2010

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No barcode data available

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