Marketing Intelligent Systems Using Soft Computing Managerial and Research Applications /

The success of companies is partly dependent on the generation of suitable knowledge upon which to base decision-making, and due to the centrality of the marketing function in organizations, marketing-related knowledge is of strategic relevance. In this connection, it is unlikely to reach a full und...

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Bibliographic Details
Main Author: Casillas, J. (Jorge)
Corporate Author: SpringerLink (Online service)
Other Authors: Martínez-López, Francisco J.
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series:Studies in fuzziness and soft computing ; v. 258.
Subjects:
Online Access: Full text (Wentworth users only).

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490 1 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 258 
505 0 |a Part 1 Essays -- Part 2 Segmentation and Targeting -- Part 3 Marketing Modeling -- Part 4 Communication/Direct Marketing -- Part 5 Product -- Part 6 E-Commerce. 
520 |a The success of companies is partly dependent on the generation of suitable knowledge upon which to base decision-making, and due to the centrality of the marketing function in organizations, marketing-related knowledge is of strategic relevance. In this connection, it is unlikely to reach a full understanding of any set of systems supporting marketing management without paying the necessary attention to the Artificial Intelligence-based methodologies applied to aid marketing-related decisions. However, as yet these methods are both under-developed and under-used. This book represents a notable and creative step forward in this respect. The editorial project has especially focused on the so-called Marketing Intelligent Systems, a cutting-edge category for marketing management support that focuses on a sophisticated treatment of knowledge by Soft Computing and other machine learning techniques. The reader will find smart reflections on this general theme from diverse world-leading marketing academics through short essays, and a collection of chapters devoted to a variety of applications – segmentation, modeling, e-commerce, etc. – using different technologies such as clustering, evolutionary algorithms, multi-agent systems, or fuzzy logic. 
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