A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit
Association rules mining is an important topic in the domain of data mining and knowledge discovering. Some papers have presented several interestingness measure methods; the most typical are Support, Confidence, Lift, Improve, and so forth. But their limitations are obvious, like no objective crite...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2015/868634 |
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| _version_ | 1850172908837535744 |
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| author | Chunhua Ju Fuguang Bao Chonghuan Xu Xiaokang Fu |
| author_facet | Chunhua Ju Fuguang Bao Chonghuan Xu Xiaokang Fu |
| author_sort | Chunhua Ju |
| collection | DOAJ |
| description | Association rules mining is an important topic in the domain of data mining and knowledge discovering. Some papers have presented several interestingness measure methods; the most typical are Support, Confidence, Lift, Improve, and so forth. But their limitations are obvious, like no objective criterion, lack of statistical base, disability of defining negative relationship, and so forth. This paper proposes three new methods, Bi-lift, Bi-improve, and Bi-confidence, for Lift, Improve, and Confidence, respectively. Then, on the basis of utility function and the executing cost of rules, we propose interestingness function based on profit (IFBP) considering subjective preferences and characteristics of specific application object. Finally, a novel measure framework is proposed to improve the traditional one through experimental analysis. In conclusion, the new methods and measure framework are prior to the traditional ones in the aspects of objective criterion, comprehensive definition, and practical application. |
| format | Article |
| id | doaj-art-cc4a3dfd83404bbeadd0ad17445dc7be |
| institution | OA Journals |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-cc4a3dfd83404bbeadd0ad17445dc7be2025-08-20T02:19:57ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2015-01-01201510.1155/2015/868634868634A Novel Method of Interestingness Measures for Association Rules Mining Based on ProfitChunhua Ju0Fuguang Bao1Chonghuan Xu2Xiaokang Fu3Contemporary Business and Trade Research Center, Zhejiang Gongshang University, Hangzhou 310018, ChinaContemporary Business and Trade Research Center, Zhejiang Gongshang University, Hangzhou 310018, ChinaSchool of Business Administration, Zhejiang Gongshang University, Hangzhou 310018, ChinaContemporary Business and Trade Research Center, Zhejiang Gongshang University, Hangzhou 310018, ChinaAssociation rules mining is an important topic in the domain of data mining and knowledge discovering. Some papers have presented several interestingness measure methods; the most typical are Support, Confidence, Lift, Improve, and so forth. But their limitations are obvious, like no objective criterion, lack of statistical base, disability of defining negative relationship, and so forth. This paper proposes three new methods, Bi-lift, Bi-improve, and Bi-confidence, for Lift, Improve, and Confidence, respectively. Then, on the basis of utility function and the executing cost of rules, we propose interestingness function based on profit (IFBP) considering subjective preferences and characteristics of specific application object. Finally, a novel measure framework is proposed to improve the traditional one through experimental analysis. In conclusion, the new methods and measure framework are prior to the traditional ones in the aspects of objective criterion, comprehensive definition, and practical application.http://dx.doi.org/10.1155/2015/868634 |
| spellingShingle | Chunhua Ju Fuguang Bao Chonghuan Xu Xiaokang Fu A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit Discrete Dynamics in Nature and Society |
| title | A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit |
| title_full | A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit |
| title_fullStr | A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit |
| title_full_unstemmed | A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit |
| title_short | A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit |
| title_sort | novel method of interestingness measures for association rules mining based on profit |
| url | http://dx.doi.org/10.1155/2015/868634 |
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