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Association Rules Evaluation by a Hybrid Multiple Criteria Decision Method

Author

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  • Zhen Zhang

    (Dalian University of Technology, China)

  • Chonghui Guo

    (Dalian University of Technology, China)

Abstract

Various rules can be generated from databases by using association rule algorithms, but only a small number of these rules may be selected for implementation due to the limitations of resources. Accordingly, evaluating the quality of these rules becomes a hot topic in the data mining field. Based on multiple criteria decision theory, a framework for evaluating the mined association rules using TOPSIS method with combination weights is proposed, which takes into account both objective interestingness measures and the users’ domain information. An example of market basket analysis is applied to illustrate the applicability of this method.

Suggested Citation

  • Zhen Zhang & Chonghui Guo, 2011. "Association Rules Evaluation by a Hybrid Multiple Criteria Decision Method," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 2(3), pages 14-25, July.
    • Handle: RePEc:igg:jkss00:v:2:y:2011:i:3:p:14-25
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    Cited by:

    1. Kanokwan Singha & Parthana Parthanadee & Ajchara Kessuvan & Jirachai Buddhakulsomsiri, 2024. "Market Basket Analysis of a Health Food Store in Thailand: A Case Study," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 15(1), pages 1-14, January.

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