New Book - Intelligent Systems for Finance and Business

[Suran Goonatilake]

NEW BOOK ANNOUNCEMENT

INTELLIGENT SYSTEMS FOR FINANCE AND BUSINESS

Suran Goonatilake and Philip Treleaven (Eds.)
University College London

Intelligent Systems are now beginning to be successfully applied in 
a variety of financial and business modelling tasks. These methods 
which include genetic algorithms, neural networks, fuzzy systems 
and intelligent hybrid systems are now being applied in credit evaluation, 
direct marketing, fraud detection, securities trading and portfolio 
management, and in many cases are outperforming traditional approaches.


This book brings together leading professionals from the US, Europe and Asia 
who have developed intelligent systems to tackle some of the most challenging
 problems in finance and business. It covers applications of a large number 
of intelligent techniques: genetic algorithms, neural networks, fuzzy logic,
 expert systems, rule induction, genetic programming, case based reasoning 
and intelligent hybrid systems. 

Case studies are drawn from a wide variety of business sectors. Applications
 that are detailed include: credit evaluation, direct marketing, insider 
dealing detection, insurance fraud detection, insurance claims processing, 
financial trading, portfolio management, and economic modelling.


CONTENTS
========

Foreword: Cathy Basch, Visa International

Chapter 1: Intelligent Systems for Finance and Business: An Overview 
Suran Goonatilake, University College London, UK. 


PART ONE: CREDIT SERVICES 

Chapter 2: Intelligent Systems at American Express 
Robert Didner, American Express

Chapter 3: Credit Evaluation using a Genetic Algorithm
R. Walker, E.W. Haasdijk and M.C. Gerrets, CAP-Volmac.

Chapter 4: Neural Networks for Credit Scoring 
David Leigh


PART TWO: DIRECT MARKETING

Chapter 5: Neural Networks for Data Driven Marketing  
Peter Furness, AMS Management Systems

Chapter 6:Intelligent Systems for Market Segmentation and Local Market Planning 
Richard Webber, CCN Marketing


PART THREE: FRAUD DETECTION AND INSURANCE 

Chapter 7: A Fuzzy System for Detecting Anomalous Behaviors in 
           Healthcare Provider Claims
Earl Cox, Metus Systems.

Chapter 8: Insider Dealing Detection at the Toronto Stock Exchange 
Steve Mott, Cognitive Systems

Chapter 9: EFD: Heuristic Statistics for Insurance Fraud Detection 
 J.A. Major and D.R. Riedinger, Travelers Insurance Co

Chapter 10: Expert Systems at Lloyd's of London 
Colin Talbot, Lloyd's of London


PART FOUR: SECURITIES TRADING AND PORTFOLIO MANAGEMENT

Chapter 11: Neural Networks in Investment Management 
A. N. Refenes,  A. D. Zapranis,  J.T. Connor and D.W. Bunn
London Business School

Chapter 12: Fuzzy Logic for financial trading 
Shunichi Tano, Hitachi Labs..

Chapter 13: Syntactic Pattern-Based Inductive Learning for Chart Analysis 
Jae K. Lee, Hyun Soo Kim, KAIST.


PART FIVE: ECONOMIC MODELLING

Chapter 14: Genetic Programming for Economic Modelling 
John Koza, Stanford University

Chapter 15: Modelling artificial stock markets using Genetic Algorithms 
Paul Tayler, Brunel University 

Chapter 16: Intelligent, Self  Organising Models in Economics and Finance 
Peter Allen, Cranfield Institute of  Technology 


PART SIX: IMPLEMENTING INTELLIGENT SYSTEMS 

Chapter 17: Software for Intelligent Systems
Philip Treleaven, University College London


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ISBN : 0471 94404 1 Publication Date : December 1995
Price: $55, (Sterling) 40 

Publishers: 

(US)
John Wiley & Sons Inc., 605 Third Avenue, New York, NY 10158-0012
Tel: 1-800-225-5945

(UK)
John Wiley & Sons Ltd, Baffins Lane, Chichester, West Sussex, 
PO19 1UD, UK.
Tel: 0800 243 407

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A World Wide Web page at :

http://www.cs.ucl.ac.uk/staff/S.Goonatilake/busbook.html