New Book - Intelligent Systems for Finance and Business

Suran Goonatilake (surang@cs.ucl.ac.uk)
Mon, 29 Jan 1996 17:52:06 +0100


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