Efficient rule induction from noisy data

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The single-pattern-based rule induction method is sensitive to the order of data. Naturally, it is not suitable for data with noise. This paper reports a new rule induction method of this kind that handles noise effectively. Experiments are conducted to show that rules generated are compact and accurate, and the method is efficient and handles noise effectively. Its computational complexity is also given for comparison with other methods and as a guide for future application of this method.

Original languageEnglish (US)
Pages (from-to)275-280
Number of pages6
JournalExpert Systems with Applications
Volume10
Issue number2
DOIs
StatePublished - 1996
Externally publishedYes

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Computational complexity
Experiments

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications

Cite this

Efficient rule induction from noisy data. / Liu, Huan.

In: Expert Systems with Applications, Vol. 10, No. 2, 1996, p. 275-280.

Research output: Contribution to journalArticle

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