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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Casillas, Jorge (Επιμελητής έκδοσης), Martínez-López, Francisco J. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Studies in Fuzziness and Soft Computing, 258
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη: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.
Φυσική περιγραφή:XIV, 478 p. 187 illus., 85 illus. in color. online resource.
ISBN:9783642156069
ISSN:1434-9922 ;