Advertisement

A Knowledge Based System Managing Sequences of Data Analysis Methods

  • F. Wartenberg
  • W. Gaul
  • D. Baier
Conference paper

Abstract

WIMDAS-PS (WIssensbasiertesMarketingDatenAnalyseSystem-PositionierungiSegmentierung) is a knowledge-based system which aims at supporting users who are not familiar with the analysis of marketing data. Questions and problems from the area of (marketing) data analysis can require proper application of alternating sequences of data analysis methods and input/output data arrays (abbreviated as: sequences of data analysis methods) where the output of one method can be used as input to another method. Appropriate interconnections between user wishes, (data analysis) objectives, methods, and data are modeled in order to provide substantial support concerning the management, e.g., the generation, selection and execution, of adequate sequences of data analysis methods.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Baier, D., Gaul, W. (1990a): Entscheidungsunterstützung bei der Auswertung von Primärforschungsdaten — Ein Konzept zur Verbindung von Wissensbasis, Datenbank und Methoden, in: Operations Research Proceedings 1989, Springer, Berlin Heidelberg New York, 406–413.Google Scholar
  2. Baier, D., Gaul, W. (1990b): Computer-Assisted Market Research and Marketing Enriched by Capabilities of Knowledge-Based Systems, in: New Ways in Marketing and Market Research, EMAC/ESOMAR Symposium, Athens, Greece, 139–160.Google Scholar
  3. Baier, D., Gaul, W., Wartenberg, F.(1991): Positioning Analysis using Knowledge-based Support, to appear.Google Scholar
  4. Gaul, W., Schader, M., Both, M. (1990): Knowledge-Oriented Support for Data Analysis Applications to Marketing, in: Knowledge, Data and Computer-Assisted Decisions, M. Schader and W. Gaul (eds.), Springer, Berlin Heidelberg New York, 42–53.Google Scholar
  5. Ng, K.-C., Abrarnson, B. (1990): Uncertainty Management in Expert Systems, in: IEEE Expert, April, 29–47.Google Scholar
  6. Spiegelhalter, D.J. (1986): A Statistical View of Uncertainty in Expert Systems, in: Artificial Intelligence & Statistics, W.A. Gale (ed.), Addison-Wesley, Reading, 17–55.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • F. Wartenberg
    • 1
  • W. Gaul
    • 1
  • D. Baier
    • 1
  1. 1.Institute of Decision Theory & Operations ResearchUniversity of KarlsruheGermany

Personalised recommendations