
Business Applications and Computational Intelligence
IGI Publishing
Published on 31. December 2006
Book
Hardback
300 pages
978-1-59140-702-7 (ISBN)
Description
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.
More details
Language
English
Place of publication
Hershey
United States
Publishing group
IGI Global
Target group
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 260 mm
Width: 183 mm
Thickness: 31 mm
Weight
1119 gr
ISBN-13
978-1-59140-702-7 (9781591407027)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
Content
Section One: Introduction; Section Two: Marketing Applications; Section Three: Production and Operations Applications; Section Four: Data Mining Applications; Section Five: Management Applications; Section Six: Financial Applications.