CCAR: An efficient method for mining class association rules with itemset constraints

Nguyen, D, Vo, B and Le, B 2015, CCAR: An efficient method for mining class association rules with itemset constraints, Engineering Applications of Artificial Intelligence, vol. 37, pp. 115-124, doi: 10.1016/j.engappai.2014.08.013.

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Title CCAR: An efficient method for mining class association rules with itemset constraints
Author(s) Nguyen, D
Vo, B
Le, B
Journal name Engineering Applications of Artificial Intelligence
Volume number 37
Start page 115
End page 124
Total pages 10
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2015-01
ISSN 0952-1976
1873-6769
Keyword(s) Science & Technology
Technology
Automation & Control Systems
Computer Science, Artificial Intelligence
Engineering, Multidisciplinary
Engineering, Electrical & Electronic
Computer Science
Engineering
Associative classification
Class association rule
Data mining
Useful rules
QUALITY IMPROVEMENT
ALGORITHM
Language eng
DOI 10.1016/j.engappai.2014.08.013
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30141887

Document type: Journal Article
Collection: Faculty of Health
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