Marketing Intelligent Systems Using Soft Computing / Studies in Fuzziness and Soft Computing Bd.258 (PDF)
Managerial and Research Applications
(Sprache: Englisch)
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...
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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.
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.
Bibliographische Angaben
- 2010, 2010, 478 Seiten, Englisch
- Herausgegeben: Jorge Casillas, Francisco J. Martínez López
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3642156061
- ISBN-13: 9783642156069
- Erscheinungsdatum: 05.10.2010
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