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Consideration of Relatively Preventative Strength from the Viewpoint of Interestingness Measure
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흥미도 측도 관점에서 상대적 예방 강도의 고찰

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Type
Academic journal
Author
Journal
The Korean Data Analysis Society Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제21권 제1호 KCI Accredited Journals
Published
2019.1
Pages
107 - 115 (9page)

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Consideration of Relatively Preventative Strength from the Viewpoint of Interestingness Measure
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Abstract· Keywords

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Data mining is one of the most popular techniques for big data analysis, and association rule technique is widely used. The criteria for creating association rules are largely divided into objective interestingness measures and subjective interestingness measures. The most basic objective interestingness measures are support, confidence, and lift. There are limits to finding meaningful association rules using these basic measures, and many studies have been published to overcome them. In addition, the relationship between confidence and relatively causal strength has been clarified from the point of view of interestingness measure. In this paper, we investigated various relatively preventive strengths from the point of view of interestingness measure, and at the same time clarified the relationship with existing objective association rule measures. As a result, the relatively preventative strength measures were found to increase as the frequency of coincidence or frequency of concurrent incidence increased. Especially, when positive or inverse confidence value is smaller than negative confidence value, negative value is shown.

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