One RBFCM based maintenance coordinator algorithm of KDD

  • Authors:

  • Zhen Peng;Bingru Yang;Lei Bai

  • Affiliations:

  • Department of Computer, North China Institute of Science and Technology, Beijing, China and School of Information Engineering, Beijing University of Science and Technology, Beijing, China;School of Information Engineering, Beijing University of Science and Technology, Beijing, China;Department of Computer, North China Institute of Science and Technology, Beijing, China

  • Venue:
  • CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
  • Year:
  • 2009

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Abstract

With the aim to improve the KDD process model and achieve the double bases(database and knowledge base) cooperating mechanism, the paper proposed one RBFCM based maintenance coordinator algorithm, which used RBFCM, a soft computing methodology, representing knowledge and inference in order to maintain in time knowledge base harmonizing with the database. On the one hand, maintenance coordinator algorithm need to keep the knowledge base up with database when three conditions happens, on the other hand, it can automatically solve self contradictions problems existing in knowledge base. Knowledge discovery systems equipped with the maintenance coordinator can evidently enhance the rehabilitation, self cognition and efficiency.