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Association Rules and Statistics

Martine Cadot 1 Jean-Baptiste Maj 1 Tarek Ziadé
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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.
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Contributor : Jean Baptiste Maj <>
Submitted on : Friday, December 2, 2005 - 10:23:31 AM
Last modification on : Wednesday, March 10, 2021 - 3:03:23 AM


  • HAL Id : hal-00578418, version 2



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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