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Cover image for Business applications and computational intelligence
Title:
Business applications and computational intelligence
Publication Information:
Hershey, PA : Idea Group Publishing, 2006
ISBN:
9781591407027

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30000010114352 HF5548.2 B874 2006 Open Access Book Book
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Summary

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.


Author Notes

Kevin Voges is a senior lecturer in Marketing in the Department of Management at the University of Canterbury, New Zealand. Nigel Pope is an associate professor, Marketing at Griffith University, UK.


Table of Contents

Kevin E. Voges and Nigel K. Ll. PopeKevin Swingler and David CairnsKristina Risom JespersenJianxin (Roger) Jiao and Yiyang Zhang and Yi WangRob Potharst and Michiel van Rijthoven and Michiel C. van WezelDavid CamachoMiao-Ling Wang and Hsiao-Fan WangZhao Yang Dong and Tapan Kumar Saha and Kit Po WongPrasanna Lokuge and Damminda AlahakoonLy Fie Sugianto and Pramesh ChandKesaraporn Techapichetvanich and Amitava DattaJianxin (Roger) Jiao and Yiyang Zhang and Martin HelanderSasha Ivkovic and Ranadhir Ghosh and John YearwoodBrian C. Lovell and Christian J. WalderTadao Takaoka and Nigel K. Ll. Pope and Kevin E. VogesFaezeh Afshar and John Yearwood and Andrew StranieriMalcolm J. Beynon and Martin KitchenerThomas L. SaatyAnthony Brabazon and Alice Delahunty and Dennis O'Callaghan and Peter Keenan and Michael O'NeillAndrei Hryshko and Tom DownsTatsiana LevinaNigel K. Ll. Pope and Kevin E. Voges
Prefacep. vii
Section I Introduction
Chapter I Computational Intelligence Applications in Business: A Cross-Section of the Fieldp. 1
Chapter II Making Decisions with Data: Using Computational Intelligence within a Business Environmentp. 19
Chapter III Computational Intelligence as a Platform for a Data Collection Methodology in Management Sciencep. 38
Section II Marketing Applications
Chapter IV Heuristic Genetic Algorithm for Product Portfolio Planningp. 55
Chapter V Modeling Brand Choice Using Boosted and Stacked Neural Networksp. 71
Chapter VI Applying Information Gathering Techniques in Business-to-Consumer and Web Scenariosp. 91
Chapter VII Web-Mining System for Mobile-Phone Marketingp. 113
Section III Production and Operations Applications
Chapter VIII Artificial Intelligence in Electricity Market Operations and Managementp. 131
Chapter IX Reinforcement Learning-Based Intelligent Agents for Improved Productivity in Container Vessel Berthing Applicationsp. 155
Chapter X Optimization Using Horizon-Scan Technique: A Practical Case of Solving an Industrial Problemp. 185
Section IV Data Mining Applications
Chapter XI Visual Data Mining for Discovering Association Rulesp. 209
Chapter XII Analytical Customer Requirement Analysis Based on Data Miningp. 227
Chapter XIII Visual Grouping of Association Rules by Clustering Conditional Probabilities for Categorical Datap. 248
Chapter XIV Support Vector Machines for Business Applicationsp. 267
Chapter XV Algorithms for Data Miningp. 291
Section V Management Applications
Chapter XVI A Tool for Assisting Group Decision-Making for Consensus Outcomes in Organizationsp. 316
Chapter XVII Analyzing Strategic Stance in Public Services Management: An Exposition of NCaRBS in a Study of Long-Term Care Systemsp. 344
Chapter XVIII The Analytic Network Process-Dependence and Feedback in Decision-Making: Theory and Validation Examplesp. 360
Section VI Financial Applications
Chapter XIX Financial Classification Using an Artificial Immune Systemp. 388
Chapter XX Development of Machine Learning Software for High Frequency Trading in Financial Marketsp. 406
Chapter XXI Online Methods for Portfolio Selectionp. 431
Section VII Postscript
Chapter XXII Ankle Bones, Rogues, and Sexual Freedom for Women: Computational Intelligence in Historial Contextp. 461
About the Authorsp. 469
Indexp. 478
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