DocumentCode :
3362922
Title :
Exploring models and formalizing knowledge to identify potential customers
Author :
de Almeida, Fernando C. ; Siqueira, José de Oliveira
Author_Institution :
Dept. of Bus. & Adm., Sao Paulo Univ., Brazil
Volume :
1
fYear :
1999
fDate :
1999
Abstract :
One increasing concern of companies is how to deal with knowledge. From data, to information and to knowledge, information technology is opening the opportunity to structure and disseminate knowledge that was hardly available. Going from knowledge from an expert or from a group to knowledge hidden in databases, there were few ways to make it available to the company. As the power and accessibility of information technology increase, the modeling of knowledge from data stored in databases of a company, becomes a possibility. Techniques like neural networks or regression and classification trees are proposing interesting solutions to create predictive and explaining models in marketing
Keywords :
commerce; management; marketing; trees (mathematics); classification trees; information technology; knowledge formalisation; marketing management; neural networks; potential customers identification; regression trees; Classification tree analysis; Companies; Customer profiles; Databases; Information technology; Logistics; Neural networks; Predictive models; Regression tree analysis; Technological innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Engineering and Technology, 1999. Technology and Innovation Management. PICMET '99. Portland International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
1-890843-02-4
Type :
conf
DOI :
10.1109/PICMET.1999.808525
Filename :
808525
Link To Document :
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