Frequent absence and presence itemset for negative association rule mining

Anis Suhailis Abdul Kadir, Azuraliza Abu Bakar, Abdul Razak Hamdan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Negative association rule (NAR) mining has created more attention recently due to the knowledge and discovery of the interestingness of the pattern of the negative association rules and the challenges during the mining process. Pattern from negative association rules are considered to be unique and unexpected compared to positive rules. Negative association rules are useful in analysis for decision making in identifying the items which conflict with each other or the items that complement each other. However, negative association rules mining still have their own issues such as mining space and good quality of negative association rules. In this paper, we provide the preliminaries of basic concepts of negative association rule. We proposed an enhancement in Apriori algorithm for mining negative association rule from frequent absence and presence (FAP) itemset. Prominent literature will be discussed to further understand negative association rule mining.

Original languageEnglish
Title of host publicationInternational Conference on Intelligent Systems Design and Applications, ISDA
Pages965-970
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11 - Cordoba
Duration: 22 Nov 201124 Nov 2011

Other

Other2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11
CityCordoba
Period22/11/1124/11/11

Fingerprint

Association rules
Decision making

Keywords

  • Apriori
  • frequent absence and presence (FAP) itemset
  • negative association rule (NAR)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Control and Systems Engineering

Cite this

Kadir, A. S. A., Abu Bakar, A., & Hamdan, A. R. (2011). Frequent absence and presence itemset for negative association rule mining. In International Conference on Intelligent Systems Design and Applications, ISDA (pp. 965-970). [6121783] https://doi.org/10.1109/ISDA.2011.6121783

Frequent absence and presence itemset for negative association rule mining. / Kadir, Anis Suhailis Abdul; Abu Bakar, Azuraliza; Hamdan, Abdul Razak.

International Conference on Intelligent Systems Design and Applications, ISDA. 2011. p. 965-970 6121783.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kadir, ASA, Abu Bakar, A & Hamdan, AR 2011, Frequent absence and presence itemset for negative association rule mining. in International Conference on Intelligent Systems Design and Applications, ISDA., 6121783, pp. 965-970, 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11, Cordoba, 22/11/11. https://doi.org/10.1109/ISDA.2011.6121783
Kadir ASA, Abu Bakar A, Hamdan AR. Frequent absence and presence itemset for negative association rule mining. In International Conference on Intelligent Systems Design and Applications, ISDA. 2011. p. 965-970. 6121783 https://doi.org/10.1109/ISDA.2011.6121783
Kadir, Anis Suhailis Abdul ; Abu Bakar, Azuraliza ; Hamdan, Abdul Razak. / Frequent absence and presence itemset for negative association rule mining. International Conference on Intelligent Systems Design and Applications, ISDA. 2011. pp. 965-970
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