Please use this identifier to cite or link to this item:
|Title:||Analyzing the subjective interestingness of association rules||Authors:||Liu, B.
|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|
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.