Please use this identifier to cite or link to this item: https://doi.org/10.1016/0957-4174(95)00053-4
Title: Efficient rule induction from noisy data
Authors: Liu, H. 
Issue Date: 1996
Citation: Liu, H. (1996). Efficient rule induction from noisy data. Expert Systems with Applications 10 (2) : 275-280. ScholarBank@NUS Repository. https://doi.org/10.1016/0957-4174(95)00053-4
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.
Source Title: Expert Systems with Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/99261
ISSN: 09574174
DOI: 10.1016/0957-4174(95)00053-4
Appears in Collections:Staff Publications

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