Partial rule match for filtering rules in associative classification
In this study, we propose a new method to enhance the accuracy of Modified Multi-class Classification based on Association Rule (MMCAR) classifier.We introduce a Partial Rule Match Filtering (PRMF) method that allows a minimal match of the items in the rule's body in order for the rule to be ad...
| Main Authors: | , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
Science Publications
2014
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| 主题: | |
| 在线阅读: | https://repo.uum.edu.my/id/eprint/18768/1/JCS%20%2010%20%204%202014%20570-577.pdf |
| _version_ | 1825804083493076992 |
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| author | Refai, Mohamed Hayel Yusof, Yuhanis |
| author_facet | Refai, Mohamed Hayel Yusof, Yuhanis |
| author_sort | Refai, Mohamed Hayel |
| collection | UUM |
| description | In this study, we propose a new method to enhance the accuracy of Modified Multi-class Classification based on Association Rule (MMCAR) classifier.We introduce a Partial Rule Match Filtering (PRMF) method that allows a minimal match of the items in the rule's body in order for the rule to be added into a classifier. Experiments on Reuters-21578 data sets are performed in order to evaluate the effectiveness of PRMF in MMCAR. Results show that the MMCAR classifier performs better as compared to the chosen competitors. |
| first_indexed | 2024-07-04T06:08:34Z |
| format | Article |
| id | uum-18768 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:08:34Z |
| publishDate | 2014 |
| publisher | Science Publications |
| record_format | eprints |
| spelling | uum-187682016-10-04T08:58:02Z https://repo.uum.edu.my/id/eprint/18768/ Partial rule match for filtering rules in associative classification Refai, Mohamed Hayel Yusof, Yuhanis QA75 Electronic computers. Computer science In this study, we propose a new method to enhance the accuracy of Modified Multi-class Classification based on Association Rule (MMCAR) classifier.We introduce a Partial Rule Match Filtering (PRMF) method that allows a minimal match of the items in the rule's body in order for the rule to be added into a classifier. Experiments on Reuters-21578 data sets are performed in order to evaluate the effectiveness of PRMF in MMCAR. Results show that the MMCAR classifier performs better as compared to the chosen competitors. Science Publications 2014 Article PeerReviewed application/pdf en cc4_by https://repo.uum.edu.my/id/eprint/18768/1/JCS%20%2010%20%204%202014%20570-577.pdf Refai, Mohamed Hayel and Yusof, Yuhanis (2014) Partial rule match for filtering rules in associative classification. Journal of Computer Science, 10 (4). pp. 570-577. ISSN 1549-3636 http://doi.org/10.3844/jcssp.2014.570.577 doi:10.3844/jcssp.2014.570.577 doi:10.3844/jcssp.2014.570.577 |
| spellingShingle | QA75 Electronic computers. Computer science Refai, Mohamed Hayel Yusof, Yuhanis Partial rule match for filtering rules in associative classification |
| title | Partial rule match for filtering rules in associative classification |
| title_full | Partial rule match for filtering rules in associative classification |
| title_fullStr | Partial rule match for filtering rules in associative classification |
| title_full_unstemmed | Partial rule match for filtering rules in associative classification |
| title_short | Partial rule match for filtering rules in associative classification |
| title_sort | partial rule match for filtering rules in associative classification |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/18768/1/JCS%20%2010%20%204%202014%20570-577.pdf |
| work_keys_str_mv | AT refaimohamedhayel partialrulematchforfilteringrulesinassociativeclassification AT yusofyuhanis partialrulematchforfilteringrulesinassociativeclassification |