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Chapitre D'ouvrage Année : 2005

Association Rules and Statistics

Martine Cadot
Tarek Ziadé
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Résumé

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.
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Dates et versions

hal-00578418 , version 2 (02-12-2005)
hal-00578418 , version 1 (20-03-2011)

Identifiants

  • HAL Id : hal-00578418 , version 2

Citer

Martine Cadot, Jean-Baptiste Maj, Tarek Ziadé. Association Rules and Statistics. John Wang, Montclair State University, USA. Encyclopedia of Data Warehousing and Mining, Idea Group Inc., pp.74--77, 2005, Vol. 1. ⟨hal-00578418v2⟩
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