InforLorV4, Main, Exploration, bibRecord, 000D57

Is Concept Stability a Measure for Pattern Selection?

Identifieur interne : 000D57 ( Main/Exploration ); précédent : 000D56; suivant : 000D58

Is Concept Stability a Measure for Pattern Selection?

Auteurs : Aleksey Buzmakov [France] ; Sergei O. Kuznetsov [Russie] ; Amedeo Napoli [France]

Source :

Procedia Computer Science [ 1877-0509 ] ; 2014.

RBID : Hal:hal-01095914

English descriptors

mix :
- experiment, formal concept analysis, pattern discovery, pattern selection, stability.

Abstract

There is a lot of usefulness measures of patterns in data mining. This paper is focused on the measures used in Formal Concept Analysis (FCA). In particular, concept stability is a popular relevancy measure in FCA. Experimental results of this paper show that high stability of a pattern in a given dataset derived from the general population suggests that the stability of that pattern is high in another dataset derived from the same population. At the second part of the paper, a new estimate of stability is introduced and studied. It es performance is evaluated experimentally. And it is shown that it is more efficient.

Url:

https://hal.inria.fr/hal-01095914

DOI: 10.1016/j.procs.2014.05.344

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 002C94
to stream Hal, to step Curation: 002C94
to stream Hal, to step Checkpoint: 000D25
to stream Main, to step Merge: 000D59
to stream Main, to step Curation: 000D57

Le document en format XML

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<idno type="IdUnivLorraine">[UL]100--</idno>
<orgName>Université de Lorraine</orgName>
<orgName type="acronym">UL</orgName>
<date type="start">2012-01-01</date>
<desc><address><addrLine>34 cours Léopold - CS 25233 - 54052 Nancy cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-lorraine.fr/</ref>
</desc>
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<tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno>
<idno type="IdRef">02636817X</idno>
<orgName>Centre National de la Recherche Scientifique</orgName>
<orgName type="acronym">CNRS</orgName>
<date type="start">1939-10-19</date>
<desc><address><country key="FR"></country>
</address>
<ref type="url">http://www.cnrs.fr/</ref>
</desc>
</org>
</tutelle>
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</hal:affiliation>
<country>France</country>
<placeName><settlement type="city">Nancy</settlement>
<settlement type="city">Metz</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université de Lorraine</orgName>
</affiliation>
</author>
</analytic>
<idno type="DOI">10.1016/j.procs.2014.05.344</idno>
<series><title level="j">Procedia Computer Science</title>
<idno type="ISSN">1877-0509</idno>
<imprint><date type="datePub">2014</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>experiment</term>
<term>formal concept analysis</term>
<term>pattern discovery</term>
<term>pattern selection</term>
<term>stability</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">There is a lot of usefulness measures of patterns in data mining. This paper is focused on the measures used in Formal Concept Analysis (FCA). In particular, concept stability is a popular relevancy measure in FCA. Experimental results of this paper show that high stability of a pattern in a given dataset derived from the general population suggests that the stability of that pattern is high in another dataset derived from the same population. At the second part of the paper, a new estimate of stability is introduced and studied. It es performance is evaluated experimentally. And it is shown that it is more efficient.</div>
</front>
</TEI>
<affiliations><list><country><li>France</li>
<li>Russie</li>
</country>
<region><li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement><li>Metz</li>
<li>Nancy</li>
</settlement>
<orgName><li>Université de Lorraine</li>
</orgName>
</list>
<tree><country name="France"><region name="Grand Est"><name sortKey="Buzmakov, Aleksey" sort="Buzmakov, Aleksey" uniqKey="Buzmakov A" first="Aleksey" last="Buzmakov">Aleksey Buzmakov</name>
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<name sortKey="Napoli, Amedeo" sort="Napoli, Amedeo" uniqKey="Napoli A" first="Amedeo" last="Napoli">Amedeo Napoli</name>
</country>
<country name="Russie"><noRegion><name sortKey="Kuznetsov, Sergei O" sort="Kuznetsov, Sergei O" uniqKey="Kuznetsov S" first="Sergei O." last="Kuznetsov">Sergei O. Kuznetsov</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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Is Concept Stability a Measure for Pattern Selection?

Is Concept Stability a Measure for Pattern Selection?

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