Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis
This work aims to see the positive association rules and negative association rules in the Apriori algorithm by using cosine correlation analysis. The default and the modified Association Rule Mining algorithm are implemented against the mushroom database to find out the difference of the results. T...
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| Format: | Article |
| Language: | Arabic |
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College of Science for Women, University of Baghdad
2021-09-01
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| Series: | Baghdad Science Journal |
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| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4906 |
| _version_ | 1818461630800855040 |
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| author | Dewi Wisnu Wardani |
| author_facet | Dewi Wisnu Wardani |
| author_sort | Dewi Wisnu Wardani |
| collection | DOAJ |
| description | This work aims to see the positive association rules and negative association rules in the Apriori algorithm by using cosine correlation analysis. The default and the modified Association Rule Mining algorithm are implemented against the mushroom database to find out the difference of the results. The experimental results showed that the modified Association Rule Mining algorithm could generate negative association rules. The addition of cosine correlation analysis returns a smaller amount of association rules than the amounts of the default Association Rule Mining algorithm. From the top ten association rules, it can be seen that there are different rules between the default and the modified Apriori algorithm. The difference of the obtained rules from positive association rules and negative association rules strengthens to each other with a pretty good confidence score. |
| first_indexed | 2024-12-14T23:49:12Z |
| format | Article |
| id | doaj.art-607da352d4c3472a8affc375d5169d30 |
| institution | Directory Open Access Journal |
| issn | 2078-8665 2411-7986 |
| language | Arabic |
| last_indexed | 2024-12-14T23:49:12Z |
| publishDate | 2021-09-01 |
| publisher | College of Science for Women, University of Baghdad |
| record_format | Article |
| series | Baghdad Science Journal |
| spelling | doaj.art-607da352d4c3472a8affc375d5169d302022-12-21T22:43:17ZaraCollege of Science for Women, University of BaghdadBaghdad Science Journal2078-86652411-79862021-09-0118310.21123/bsj.2021.18.3.0554Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation AnalysisDewi Wisnu Wardani0Informatics Department, Universitas Sebelas Maret, Indonesia.This work aims to see the positive association rules and negative association rules in the Apriori algorithm by using cosine correlation analysis. The default and the modified Association Rule Mining algorithm are implemented against the mushroom database to find out the difference of the results. The experimental results showed that the modified Association Rule Mining algorithm could generate negative association rules. The addition of cosine correlation analysis returns a smaller amount of association rules than the amounts of the default Association Rule Mining algorithm. From the top ten association rules, it can be seen that there are different rules between the default and the modified Apriori algorithm. The difference of the obtained rules from positive association rules and negative association rules strengthens to each other with a pretty good confidence score.https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4906aprioriassociation-rule-miningaprioricosine-correlation-analysisdata-mining |
| spellingShingle | Dewi Wisnu Wardani Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis Baghdad Science Journal apriori association-rule-mining aprioricosine-correlation-analysis data-mining |
| title | Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis |
| title_full | Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis |
| title_fullStr | Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis |
| title_full_unstemmed | Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis |
| title_short | Measuring Positive and Negative Association of Apriori Algorithm with Cosine Correlation Analysis |
| title_sort | measuring positive and negative association of apriori algorithm with cosine correlation analysis |
| topic | apriori association-rule-mining aprioricosine-correlation-analysis data-mining |
| url | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4906 |
| work_keys_str_mv | AT dewiwisnuwardani measuringpositiveandnegativeassociationofapriorialgorithmwithcosinecorrelationanalysis |