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Intelligent Systems for Finance and Business

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ISBN-10: 0471944041

ISBN-13: 9780471944041

Edition: 1st 1995

Authors: Suran Goonatilake, Philip C. Treleaven

List price: $190.00
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Intelligent Systems for Finance and Business Edited by Suran Goonatilake and Philip Treleaven A new generation of computing methods, commonly known as ‘intelligent systems’ are now beginning to be successfully applied in a variety of business and financial modelling tasks, and in many cases are outperforming traditional statistical techniques. Intelligent Systems for Finance and Business provides comprehensive coverage of the latest intelligent systems including genetic algorithms, neural networks, fuzzy logic, expert systems, rule induction, genetic programming, case based reasoning and intelligent hybrid systems. The authors clearly illustrate theories with practical case studies drawn…    
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Book details

List price: $190.00
Edition: 1st
Copyright year: 1995
Publisher: John Wiley & Sons, Incorporated
Publication date: 3/19/1996
Binding: Hardcover
Pages: 350
Size: 6.25" wide x 9.50" long x 1.25" tall
Weight: 1.496

List of Contributors
Intelligent Systems for Finance and Business: An Overview
Intelligent Systems at American Express
Credit Evaluation Using a Genetic Algorithm
Neural Networks for Credit Scoring
Neural Networks for Data-driven Marketing
Intelligent Systems for Market Segmentation and Local Market Planning
A Fuzzy System for Detecting Anomalous Behaviors in Healthcare Provider Claims
Insider Dealing Detection at the Toronto Stock Exchange
EFD: Heuristic Statistics for Insurance Fraud Detection
Expert Systems at Lloyd's of London
Neural Networks in Investment Management
Fuzzy Logic for Financial Trading
Syntactic Pattern-based Inductive Learning for Chart Analysis
Genetic Programming for Economic Modeling
Modelling Artificial Stock Markets Using Genetic Algorithms
Intelligent, Self-organizing Models in Economics and Finance
Software for Intelligent Systems