An Extension of Totohasina’s Normalization Theory of Quality Measures of Association Rules
In the context of binary data mining, for unifying view on probabilistic quality measures of association rules, Totohasina’s theory of normalization of quality measures of association rules primarily based on affine homeomorphism presents some drawbacks. Indeed, it cannot normalize some interestingn...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | International Journal of Mathematics and Mathematical Sciences |
| Online Access: | http://dx.doi.org/10.1155/2019/7829805 |
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| _version_ | 1832551937372848128 |
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| author | Armand André Totohasina Daniel Rajaonasy Feno |
| author_facet | Armand André Totohasina Daniel Rajaonasy Feno |
| author_sort | Armand |
| collection | DOAJ |
| description | In the context of binary data mining, for unifying view on probabilistic quality measures of association rules, Totohasina’s theory of normalization of quality measures of association rules primarily based on affine homeomorphism presents some drawbacks. Indeed, it cannot normalize some interestingness measures which are explained below. This paper presents an extension of it, as a new normalization method based on proper homographic homeomorphism that appears most consequent. |
| format | Article |
| id | doaj-art-2e81a5344f8f411bb3933d1f116e8de3 |
| institution | Kabale University |
| issn | 0161-1712 1687-0425 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Mathematics and Mathematical Sciences |
| spelling | doaj-art-2e81a5344f8f411bb3933d1f116e8de32025-02-03T06:00:03ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252019-01-01201910.1155/2019/78298057829805An Extension of Totohasina’s Normalization Theory of Quality Measures of Association RulesArmand0André Totohasina1Daniel Rajaonasy Feno2Lycée Mixte Antsiranana, Antsiranana, MadagascarDepartment of Mathematics and Informatics Application, University of Antsiranana, MadagascarDepartment of Mathematics and Informatics Application, University of Toamasina, MadagascarIn the context of binary data mining, for unifying view on probabilistic quality measures of association rules, Totohasina’s theory of normalization of quality measures of association rules primarily based on affine homeomorphism presents some drawbacks. Indeed, it cannot normalize some interestingness measures which are explained below. This paper presents an extension of it, as a new normalization method based on proper homographic homeomorphism that appears most consequent.http://dx.doi.org/10.1155/2019/7829805 |
| spellingShingle | Armand André Totohasina Daniel Rajaonasy Feno An Extension of Totohasina’s Normalization Theory of Quality Measures of Association Rules International Journal of Mathematics and Mathematical Sciences |
| title | An Extension of Totohasina’s Normalization Theory of Quality Measures of Association Rules |
| title_full | An Extension of Totohasina’s Normalization Theory of Quality Measures of Association Rules |
| title_fullStr | An Extension of Totohasina’s Normalization Theory of Quality Measures of Association Rules |
| title_full_unstemmed | An Extension of Totohasina’s Normalization Theory of Quality Measures of Association Rules |
| title_short | An Extension of Totohasina’s Normalization Theory of Quality Measures of Association Rules |
| title_sort | extension of totohasina s normalization theory of quality measures of association rules |
| url | http://dx.doi.org/10.1155/2019/7829805 |
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