Efficient mining of class association rules with the itemset constraint Nguyen, Dang, Nguyen, LTT, Vo, B and Pedrycz, W 2016, Efficient mining of class association rules with the itemset constraint, Knowledge-Based Systems, vol. 103, pp. 73-88, doi: 10.1016/j.knosys.2016.03.025. Attached Files Name Description MIMEType Size Downloads Title Efficient mining of class association rules with the itemset constraint Author(s) Nguyen, Dang orcid.org/0000-0002-0401-988X Nguyen, LTT Vo, B Pedrycz, W Journal name Knowledge-Based Systems Volume number 103 Start page 73 End page 88 Total pages 16 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2016-07 ISSN 0950-7051 1872-7409 Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science Associative classification Class association rule Data mining Useful rules HEART-DISEASE ALGORITHM Language eng DOI 10.1016/j.knosys.2016.03.025 Indigenous content off Field of Research 08 Information and Computing Sciences 15 Commerce, Management, Tourism and Services 17 Psychology and Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30141913 Document type: Journal Article Collection: Faculty of Health Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 14 Sep 2020, 16:01:06 EST Tue, 15 Sep 2020, 05:01:05 EST Sat, 03 Oct 2020, 06:04:12 EST Mon, 05 Oct 2020, 14:21:14 EST Mon, 05 Oct 2020, 14:22:16 EST Mon, 05 Oct 2020, 14:25:49 EST Mon, 05 Oct 2020, 14:29:51 EST Mon, 05 Oct 2020, 14:30:52 EST Filtered Full Citation counts:   Cited 12 times in TR Web of Science Cited 19 times in Scopus Search Google Scholar Access Statistics: 13 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 14 Sep 2020, 16:01:06 EST

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