CNAR-M: A model for mining critical negative association rules
Association rules mining has been extensively studied in various multidiscipline applications. One of the important categories in association rule is known as Negative Association Rule (NAR). Significant NAR is very useful in certain domain applications; however it is hardly to be captured and discr...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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Springer, Berlin, Heidelberg
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/27009/1/CNAR-M-%20A%20model%20for%20mining%20critical%20negative%20association%20rules.pdf |
| _version_ | 1796993793682046976 |
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| author | Herawan, Tutut Zailani, Abdullah |
| author_facet | Herawan, Tutut Zailani, Abdullah |
| author_sort | Herawan, Tutut |
| collection | UMP |
| description | Association rules mining has been extensively studied in various multidiscipline applications. One of the important categories in association rule is known as Negative Association Rule (NAR). Significant NAR is very useful in certain domain applications; however it is hardly to be captured and discriminated. Therefore, in this paper we proposed a model called Critical Negative Association Rule Model (CNAR-M) to extract the Critical Negative Association Rule (CNAR) with higher Critical Relative Support (CRS) values. The result shows that the CNAR-M can mine CNAR from the benchmarked and real datasets. Moreover, it also can discriminate the CNAR with others association rules. |
| first_indexed | 2024-03-06T12:38:48Z |
| format | Conference or Workshop Item |
| id | UMPir27009 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:38:48Z |
| publishDate | 2012 |
| publisher | Springer, Berlin, Heidelberg |
| record_format | dspace |
| spelling | UMPir270092020-03-23T02:32:52Z http://umpir.ump.edu.my/id/eprint/27009/ CNAR-M: A model for mining critical negative association rules Herawan, Tutut Zailani, Abdullah QA76 Computer software Association rules mining has been extensively studied in various multidiscipline applications. One of the important categories in association rule is known as Negative Association Rule (NAR). Significant NAR is very useful in certain domain applications; however it is hardly to be captured and discriminated. Therefore, in this paper we proposed a model called Critical Negative Association Rule Model (CNAR-M) to extract the Critical Negative Association Rule (CNAR) with higher Critical Relative Support (CRS) values. The result shows that the CNAR-M can mine CNAR from the benchmarked and real datasets. Moreover, it also can discriminate the CNAR with others association rules. Springer, Berlin, Heidelberg 2012 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27009/1/CNAR-M-%20A%20model%20for%20mining%20critical%20negative%20association%20rules.pdf Herawan, Tutut and Zailani, Abdullah (2012) CNAR-M: A model for mining critical negative association rules. In: 6th International Symposium on Intelligence Computation and Applications (ISICA 2012) , 27-28 October 2012 , Wuhan, China. pp. 170-179., 316. ISBN 978-3-642-34289-9 https://doi.org/10.1007/978-3-642-34289-9_20 |
| spellingShingle | QA76 Computer software Herawan, Tutut Zailani, Abdullah CNAR-M: A model for mining critical negative association rules |
| title | CNAR-M: A model for mining critical negative association rules |
| title_full | CNAR-M: A model for mining critical negative association rules |
| title_fullStr | CNAR-M: A model for mining critical negative association rules |
| title_full_unstemmed | CNAR-M: A model for mining critical negative association rules |
| title_short | CNAR-M: A model for mining critical negative association rules |
| title_sort | cnar m a model for mining critical negative association rules |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/27009/1/CNAR-M-%20A%20model%20for%20mining%20critical%20negative%20association%20rules.pdf |
| work_keys_str_mv | AT herawantutut cnarmamodelforminingcriticalnegativeassociationrules AT zailaniabdullah cnarmamodelforminingcriticalnegativeassociationrules |