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DOI: 10.14569/IJACSA.2021.0120722
PDF

CRS-iEclat: Implementation of Critical Relative Support in iEclat Model for Rare Pattern Mining

Author 1: Wan Aezwani Wan Abu Bakar
Author 2: Mustafa Man
Author 3: Zailani Abdullah
Author 4: Mahadi B Man

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 7, 2021.

  • Abstract and Keywords
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Abstract: The research purpose is to develop a performance enhancement in Incremental Eclat (iEclat) model by embedding Critical Relative Support (CRS) in mining of infrequent itemset. The CRS measure acts as an interestingness measure (filter) in iEclat model that comprises of i-Eclat-diffset algorithm, i-Eclat-sortdiffset algorithm and i-Eclat-postdiffset algorithm for infrequent (rare) itemset mining. The association rule is performed to reveal the relationships among itemsets in a transactional database. The task of association rule mining is to discover if there exist the frequent itemset or infrequent patterns in the database and if any, an interesting relationship between these frequent or infrequent itemsets can reveal a new pattern analysis for the future decision making. Regardless of frequent or infrequent itemsets, the persisting issues are deemed to execution time to display the rules and the highest memory consumption during mining process. CRS-iEclat engine is proposed to overcome the said issues. Prior to experimentation, results indicate that CRS-iEclat outperforms iEclat from 54% to 100% accuracy on execution time (ET) in selected database as to show the improvement of ET efficiency.

Keywords: Critical relative support; equivalence class transformation (Eclat); iEclat model; interestingness measure

Wan Aezwani Wan Abu Bakar, Mustafa Man, Zailani Abdullah and Mahadi B Man, “CRS-iEclat: Implementation of Critical Relative Support in iEclat Model for Rare Pattern Mining” International Journal of Advanced Computer Science and Applications(IJACSA), 12(7), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120722

@article{Bakar2021,
title = {CRS-iEclat: Implementation of Critical Relative Support in iEclat Model for Rare Pattern Mining},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120722},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120722},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {7},
author = {Wan Aezwani Wan Abu Bakar and Mustafa Man and Zailani Abdullah and Mahadi B Man}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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