Business Applications And Computational Intelligence

by VOGES KEVIN E.

• ISBN13: 9781591407027
• ISBN10: 1591407028
• Format: Hardcover
• Copyright: 2005-12-30
• Publisher: Idea Group Pub

Summary

Computational intelligence has a long history of applications to business - expert systems have been used for decision support in management, neural networks and fuzzy logic have been used in process control, a variety of techniques have been used in forecasting, and data mining has become a core component of customer relationship management in marketing. While there is literature on this field, it is spread over many disciplines and in many different publications, making it difficult to find the pertinent information in one source.Business Applications and Computational Intelligence addresses the need for a compact overview of the diversity of applications in a number of business disciplines, and consists of chapters written by leading international researchers. Chapters cover most fields of business, including: marketing, data mining, e-commerce, production and operations, finance, decision-making, and general management. Business Applications and Computational Intelligence provides a comprehensive review of research into computational intelligence applications in business, creating a powerful guide for both newcomers and experienced researchers.

Table of Contents

Preface	p. vii
Introduction
Computational Intelligence Applications in Business: A Cross-Section of the Field	p. 1
Making Decisions with Data: Using Computational Intelligence within a Business Environment	p. 19
Computational Intelligence as a Platform for a Data Collection Methodology in Management Science	p. 38
Marketing Applications
Heuristic Genetic Algorithm for Product Portfolio Planning	p. 55
Modeling Brand Choice Using Boosted and Stacked Neural Networks	p. 71
Applying Information Gathering Techniques in Business-to-Consumer and Web Scenarios	p. 91
Web-Mining System for Mobile-Phone Marketing	p. 113
Production and Operations Applications
Artificial Intelligence in Electricity Market Operations and Management	p. 131
Reinforcement Learning-Based Intelligent Agents for Improved Productivity in Container Vessel Berthing Applications	p. 155
Optimization Using Horizon-Scan Technique: A Practical Case of Solving an Industrial Problem	p. 185
Data Mining Applications
Visual Data Mining for Discovering Association Rules	p. 209
Analytical Customer Requirement Analysis Based on Data Mining	p. 227
Visual Grouping of Association Rules by Clustering Conditional Probabilities for Categorical Data	p. 248
Support Vector Machines for Business Applications	p. 267
Algorithms for Data Mining	p. 291
Management Applications
A Tool for Assisting Group Decision-Making for Consensus Outcomes in Organizations	p. 316
Analyzing Strategic Stance in Public Services Management: An Exposition of NCaRBS in a Study of Long-Term Care Systems	p. 344
The Analytic Network Process-Dependence and Feedback in Decision-Making: Theory and Validation Examples	p. 360
Financial Applications
Financial Classification Using an Artificial Immune System	p. 388
Development of Machine Learning Software for High Frequency Trading in Financial Markets	p. 406
Online Methods for Portfolio Selection	p. 431
Postscript
Ankle Bones, Rogues, and Sexual Freedom for Women: Computational Intelligence in Historial Context	p. 461
About the Authors	p. 469
Index	p. 478
Table of Contents provided by Ingram. All Rights Reserved.