Une approche anthropocentrée interactive pour l'aide à la décision en marketing bancaire

ABSTRACT

This paper is focused on real banking marketing problem. It is based on association rules mining which is one main problem in knowledge discovery in databases (KDD). However, current methods is limited to extract some particular information and to restore it. Several works were proposed to solve it thanks to user-driven process. In this kind of approach, the whole KDD process is tackled and not only the mining step. KDD design integrates the user at the heart of the process by playing a role of evolutionary heuristic. This paper focuses on the role of the expert and explains his help within the process. We highlight in our works the HCI preponderant significance. Indeed, it merges tacit and explicit knowledge and good results are produced in our application.

REFERENCES

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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining

Additional Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
          Subjects: Human factors
  H.4 INFORMATION SYSTEMS APPLICATIONS
      H.4.2 Types of Systems
          Subjects: Decision support (e.g., MIS)
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)

General Terms:
Design, Human Factors, Performance

Keywords:
data Mining, decision support system (DSS), human computer interaction, visualisation