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youssef balouki
Faculty of Science and Technology, Hassan 1st University Settat, Laboratory Mathematics, Computer Science and Engineering Sciences (MISI), Morocco
Computer Science & IT Engineering

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The selection of the relevant association rules using the ELECTRE method with multiple criteria Azzeddine Dahbi; siham jabri; youssef balouki; Taoufiq Gadi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v9.i4.pp638-645

Abstract

The extraction of association rules is a very attractive data mining task and the most widespread in the business world and in modern society, trying to obtain the interesting relationship and connection between collections of articles, products or items in high transactional databases. The immense quantity of association rules obtained expresses the main obstacle that a decision maker can handle. Consequently, in order to establish the most interesting association rules, several interestingness measures have been introduced. Currently, there is no optimal measure that can be chosen to judge the selected association rules. To avoid this problem we suggest to apply ELECTRE method one of the multi-criteria decision making, taking into consideration a formal study of measures of interest according to structural properties, and intending to find a good compromise and select the most interesting association rules without eliminating any measures. Experiments conducted on reference data sets show a significant improvement in the performance of the proposed strategy.
Co-Authors Azzeddine Dahbi siham jabri Taoufiq Gadi