2 edition of ESOMAR/EMAC/AFM Symposium on Information Based Decision Making in Marketing found in the catalog.
ESOMAR/EMAC/AFM Symposium on Information Based Decision Making in Marketing
ESOMAR/EMAC/AFM Symposium on Information Based Decision Making in Marketing (1993 Paris, France)
Includes bibliographical references.
|Other titles||Information based decision making in marketing, ESOMAR/EMAC/AFM Symposium|
|Contributions||Esomar., European Marketing Academy., Association française du marketing.|
|LC Classifications||HF5415.135 .E86 1993|
|The Physical Object|
|Pagination||vi, 365 p. :|
|Number of Pages||365|
|LC Control Number||95139293|
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Fitzsimons, Mike, Khabaza, Tom, and Shearer, Colin (), “The Application of Rule Induction and Neural Networks for Television Audience Prediction,” in Proceedings of the ESOMAR-EMAC-AFM Symposium Information Based Decision Making in Cited by: Fitzimons M, Khabaza T, Shearer C.
The application of rule induction and neural networks for television audience prediction. Proceedings Esomar/EMAC/AFM Symposium on Information Based Decision Making in Marketing, Paris, November ; 69– Google ScholarAuthor: Pierre Desmet.
Amsterdam: ESOMAR. Data Mining and Visualization are tools that are used in databases to further analyse and understand the stored data. Data mining and visualization are knowledge discovery tools used to find hidden patterns and to visualize the data distribution.
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Davies2 Performance: A Neural Network and Luiz Moutinho3 Analysis Downloaded by [University of Glasgow] at 16 September The Integration of Marketing Problem-Solving Modes and Marketing Management Support Systems To be effective, decision aids for marketing managers should match with the thinking and reasoning processes of the marketing decision makers who use them.
The authors take a cognitive approach to problem solving in mar keting. ESOMAR-EMAC-AFM symposium on “Information based decision making in marketing, Paris, Novpp Udo, G.
(), “Neural network performance on the bankruptcy. Close primary menu. Erasmus University Rotterdam. Navigation: Primary. Education Close submenu › Find your study Close submenu Find your master. Fitzsimons, M., Khabaza, T., and Shearer, C. () “The Application of Rule Induction and Neural Networks for Television Audience Prediction” In Proceedings of ESOMAR/EMAC/AFM Symposium on Information Based Decision Making in Marketing, Paris, pp .
ESOMAR/EMAC/AFM Symposium on Information Based Decision Making in Marketing: Reconciling the needs and interests of decision makers, data collectors : Paris France 17thth November : LibrosFormat: Encuadernación desconocida.
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Fitzsimmons, M., Khabaza, T. and Shearer, C. () The application of rule induction and neural networks for television audience prediction. Proceedings of the ESOMAR/EMAC/AFM Symposium on Information-based Decision Making in Marketing, Fitzsimons, M., “The application of rule induction and neural networks for television audience prediction”, Proc.
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