Building an Associative Classifier Based on Fuzzy Association Rules
Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains. This paper aims at proposing an associative classification approac...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2008-08-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/1588.pdf |
| _version_ | 1811291387927199744 |
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| author | Zuoliang Chen Guoqing Chen |
| author_facet | Zuoliang Chen Guoqing Chen |
| author_sort | Zuoliang Chen |
| collection | DOAJ |
| description | Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains. This paper aims at proposing an associative classification approach, namely Classification with Fuzzy Association Rules (CFAR), where fuzzy logic is used in partitioning the domains. In doing so, the notions of support and confidence are extended, along with the notion of compact set in dealing with rule redundancy and conflict. Furthermore, the corresponding mining algorithm is introduced and tested on benchmarking datasets. The experimental results revealed that CFAR generated better understandability in terms of fewer rules and smother boundaries than the traditional CBA approach while maintaining satisfactory accuracy. |
| first_indexed | 2024-04-13T04:28:37Z |
| format | Article |
| id | doaj.art-73d1fde5b8e44dbb87994f4b0fc27de0 |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-04-13T04:28:37Z |
| publishDate | 2008-08-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-73d1fde5b8e44dbb87994f4b0fc27de02022-12-22T03:02:24ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832008-08-011310.2991/ijcis.2008.1.3.7Building an Associative Classifier Based on Fuzzy Association RulesZuoliang ChenGuoqing ChenClassification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains. This paper aims at proposing an associative classification approach, namely Classification with Fuzzy Association Rules (CFAR), where fuzzy logic is used in partitioning the domains. In doing so, the notions of support and confidence are extended, along with the notion of compact set in dealing with rule redundancy and conflict. Furthermore, the corresponding mining algorithm is introduced and tested on benchmarking datasets. The experimental results revealed that CFAR generated better understandability in terms of fewer rules and smother boundaries than the traditional CBA approach while maintaining satisfactory accuracy.https://www.atlantis-press.com/article/1588.pdfAssociative ClassificationFuzzy Association rulesCFARData Mining. |
| spellingShingle | Zuoliang Chen Guoqing Chen Building an Associative Classifier Based on Fuzzy Association Rules International Journal of Computational Intelligence Systems Associative Classification Fuzzy Association rules CFAR Data Mining. |
| title | Building an Associative Classifier Based on Fuzzy Association Rules |
| title_full | Building an Associative Classifier Based on Fuzzy Association Rules |
| title_fullStr | Building an Associative Classifier Based on Fuzzy Association Rules |
| title_full_unstemmed | Building an Associative Classifier Based on Fuzzy Association Rules |
| title_short | Building an Associative Classifier Based on Fuzzy Association Rules |
| title_sort | building an associative classifier based on fuzzy association rules |
| topic | Associative Classification Fuzzy Association rules CFAR Data Mining. |
| url | https://www.atlantis-press.com/article/1588.pdf |
| work_keys_str_mv | AT zuoliangchen buildinganassociativeclassifierbasedonfuzzyassociationrules AT guoqingchen buildinganassociativeclassifierbasedonfuzzyassociationrules |