Knowledge discovery from databases with the guidance of a causal network

Qiuming Zhu, Zhengxin Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The advancement of knowledge discovery from databases (KDD) has been hampered by the problems such as the lack of statistical rigor, overabundance of patterns, and poor integration. This paper describes a new model for KDD that applies a causal network to guide the discovery processes. The new model not only allows the user to express what kind of knowledge to be discovered, but also uses the user intention to alleviate the overabundance problem. In this new model, the causal network is applied to represent the relevant variables and their relationships in the problem domain, and in due course updated according to the extracted knowledge. An interactive data mining process based on this model is described. The approach allows a knowledge discovery process to be conducted in a more controllable manner. Fundamental features of the new model are discussed, and an example is provided to illustrate the discovery processes using this model.

Original languageEnglish (US)
Title of host publicationFoundations of Intelligent Systems - 10th International Symposium, ISMIS 1997, Proceedings
EditorsAndrzej Skowron, Zbigniew W. Ras
PublisherSpringer Verlag
Pages401-410
Number of pages10
ISBN (Print)3540636145, 9783540636144
StatePublished - Jan 1 1997
Event10th International Symposium on Methodologies for Intelligent Systems, ISMIS 1997 - Charlotte, United States
Duration: Oct 15 1997Oct 18 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1325
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Symposium on Methodologies for Intelligent Systems, ISMIS 1997
CountryUnited States
CityCharlotte
Period10/15/9710/18/97

Keywords

  • Causal networks
  • Goal-driven
  • Knowledge discovery from databases

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Zhu, Q., & Chen, Z. (1997). Knowledge discovery from databases with the guidance of a causal network. In A. Skowron, & Z. W. Ras (Eds.), Foundations of Intelligent Systems - 10th International Symposium, ISMIS 1997, Proceedings (pp. 401-410). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1325). Springer Verlag.