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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Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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Series: | Studies in fuzziness and soft computing ;
v. 258. |
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Online Access: |
Full text (Wentworth users only). |
MARC
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100 | 1 | |a Casillas, J. |q (Jorge) |0 n 2003002412 | |
245 | 1 | 0 | |a Marketing Intelligent Systems Using Soft Computing |h [electronic resource] : |b Managerial and Research Applications / |c edited by Jorge Casillas, Francisco J. Martínez-López. |
264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg, |c 2010. | |
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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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