Please use this identifier to cite or link to this item: https://doi.org/10.1109/5254.889106
Title: Analyzing the subjective interestingness of association rules
Authors: Liu, B. 
Hsu, W. 
Chen, S. 
Ma, Y. 
Issue Date: 2000
Citation: Liu, B., Hsu, W., Chen, S., Ma, Y. (2000). Analyzing the subjective interestingness of association rules. IEEE Intelligent Systems and Their Applications 15 (5) : 47-55. ScholarBank@NUS Repository. https://doi.org/10.1109/5254.889106
Abstract: A new approach to help users find interesting rules from a set of discovered association rules is described. This interestingness analysis system (IAS) leverages the user's existing domain knowledge to analyze discovered associations and then rank discovered rules according to various interestingness criteria.
Source Title: IEEE Intelligent Systems and Their Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/38905
ISSN: 10947167
DOI: 10.1109/5254.889106
Appears in Collections:Staff Publications

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