Association Rules and Statistics
Identifieur interne : 006089 ( Main/Exploration ); précédent : 006088; suivant : 006090Association Rules and Statistics
Auteurs : Martine Cadot ; Jean-Baptiste Maj ; Tarek ZiadéSource :
English descriptors
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Abstract
In this paper, the two kinds of knowledge extracted by Statistics and by Association Rules, both working on the same data structured in tables [Objects *x* Properties], are compared. These two methods establish the links between properties of objects. When the amount of data properties increases, Statistics may be replaced by Association rules for better performance. Pros and cons of using Association rules instead of Statistics are described in this paper.
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en" wicri:score="671">In this paper, the two kinds of knowledge extracted by Statistics and by Association Rules, both working on the same data structured in tables [Objects *x* Properties], are compared. These two methods establish the links between properties of objects. When the amount of data properties increases, Statistics may be replaced by Association rules for better performance. Pros and cons of using Association rules instead of Statistics are described in this paper.</div>
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