An interactive predictive data mining system for informed decision

  • Authors:

  • Esther Ge;Richi Nayak

  • Affiliations:

  • Faculty of Information Technology, Queensland University of Technology, Brisbane, Australia;Faculty of Information Technology, Queensland University of Technology, Brisbane, Australia

  • Venue:
  • DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
  • Year:
  • 2008

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Abstract

There exists a need to utilize the predictive data mining models for querying to obtain the predicted outcome based on user provided inputs in its real use. This demo illustrates a real-world situation in which the trained predictive data mining system is being deployed and now users can interact with the model for informed decision.