• 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