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Business applications and computational intelligence

"This book deals with the computational intelligence field, particularly business applications adopting computational intelligence techniques"--Provided by publisher.

Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Voges, Kevin E., 1952-, Pope, Nigel.
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2006.
Subjects:
Business > Data processing.
Computational intelligence.
Online Access:View fulltext via EzAccess
Table of Contents:
  • Section 1. Introduction
  • 1. Computational intelligence applications in business : a cross-section of the field / Kevin E. Voges, Nigel K. Ll. Pope
  • 2. Making decisions with data : using computational intelligence within a business environment / Kevin Swingler, David Cairns
  • 3. Computational intelligence as a platform for a data collection methodology in management science / Kristina Risom Jespersen
  • Section 2. Marketing applications
  • 4. Heuristic genetic algorithm for product portfolio planning / Jianxin (Roger) Jiao, Yiyang Zhang, Yi Wang
  • 5. Modeling brand choice using boosted and stacked neural networks / Rob Potharst, Michiel van Rijthoven, Michiel C. van Wezel
  • 6. Applying information gathering techniques in business-to-consumer and web scenarios / David Camacho
  • 7. Web-mining system for mobile-phone marketing / Miao-Ling Wang, Hsiao-Fan Wang
  • Section 3. Production and operations applications
  • 8. Artificial intelligence in electricity market operations and management / Zhao Yang Dong, Tapan Kumar Saha, Kit Po Wong
  • 9. Reinforcement learning-based intelligent agents for improved productivity in container vessel berthing applications / Prasanna Lokuge, Damminda Alahakoon
  • 10. Optimization using horizon-scan technique : a practical case of solving an industrial problem / Ly Fie Sugianto, Pramesh Chand
  • Section 4. Data mining applications
  • 11. Visual data mining for discovering association rules / Kesaraporn Techapichetvanich, Amitava Datta
  • 12. Analytical customer requirement analysis based on data mining / Jianxin (Roger) Jiao, Yiyang Zhang, Martin Helander
  • 13. Visual grouping of association rules by clustering conditional probabilities for categorical data / Sasha Ivkovic, Ranadhir Ghosh, John Yearwood
  • 14. Support vector machines for business applications / Brian C. Lovell, Christian J. Walder
  • 15. Algorithms for data mining / Tadao Takaoka, Nigel K. Ll. Pope, Kevin E. Voges
  • Section 5. Management applications
  • 16. A tool for assisting group decision-making for consensus outcomes in organizations / Faezeh Afshar, John Yearwood, Andrew Stranieri
  • 17. Analyzing strategic stance in public services management : an exposition of NCaRBS in a study of long-term care systems / Malcolm J. Benyon, Martin Kitchener
  • 18. The analytic network process, dependence and feedback in decision-making theory and validation examples / Thomas L. Saaty
  • Section 6. Financial applications
  • 19. Financial classification using an artificial immune system / Anthony Brabazon ... [et al.]
  • 20. Development of machine learning software for high frequency trading in financial markets / Andrei Hryshko, Tom Downs
  • 21. Online methods for portfolio selection / Tatsiana Levina
  • Section 7. Postscript
  • 22. Ankle bones, rogues, and sexual freedom for women : computational intelligence in historical context / Nigel K. Ll. Pope, Kevin E. Voges
  • About the authors
  • Index.

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