A framework for interestingness measures for association rules with discrete and continuous attributes based on statistical validity
Assessing rules with interestingness measures is the pillar of successful application of association rules discovery. However, association rules discovered are large in number, some of which are not considered as interesting or significant for the application at hand. In this paper, we present a sys...
| Автори: | , |
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| Інші автори: | |
| Формат: | Book Section |
| Мова: | English |
| Опубліковано: |
Springer International Publishing
2015
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| Предмети: | |
| Онлайн доступ: | https://repo.uum.edu.my/id/eprint/17877/1/IFIP%20AI%202015%201-10.pdf |