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Association Rules and Statistics

Identifieur interne : 006551 ( Main/Exploration ); précédent : 006550; suivant : 006552

Association Rules and Statistics

Auteurs : Martine Cadot [France] ; Jean-Baptiste Maj [France] ; Tarek Ziadé

Source :

RBID : Hal:hal-00014700

English descriptors

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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Le document en format XML

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</hal:affiliation>
<country>France</country>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université Nancy 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Institut national polytechnique de Lorraine</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
</affiliation>
</author>
<author>
<name sortKey="Ziade, Tarek" sort="Ziade, Tarek" uniqKey="Ziade T" first="Tarek" last="Ziadé">Tarek Ziadé</name>
</author>
</analytic>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="mix" xml:lang="en">
<term>association rules</term>
<term>statistics</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">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>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>France</li>
</country>
<region>
<li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement>
<li>Nancy</li>
</settlement>
<orgName>
<li>Institut national polytechnique de Lorraine</li>
<li>Université Nancy 2</li>
<li>Université de Lorraine</li>
</orgName>
</list>
<tree>
<noCountry>
<name sortKey="Ziade, Tarek" sort="Ziade, Tarek" uniqKey="Ziade T" first="Tarek" last="Ziadé">Tarek Ziadé</name>
</noCountry>
<country name="France">
<region name="Grand Est">
<name sortKey="Cadot, Martine" sort="Cadot, Martine" uniqKey="Cadot M" first="Martine" last="Cadot">Martine Cadot</name>
</region>
<name sortKey="Maj, Jean Baptiste" sort="Maj, Jean Baptiste" uniqKey="Maj J" first="Jean-Baptiste" last="Maj">Jean-Baptiste Maj</name>
</country>
</tree>
</affiliations>
</record>

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