Adequacy of a User-Defined Vocabulary to the Data Structure

Marie-Jeanne Lesot 1 Grégory Smits 2 Olivier Pivert 2
1 LFI - Learning, Fuzzy and Intelligent systems
LIP6 - Laboratoire d'Informatique de Paris 6
2 PILGRIM - Gradedness, Imprecision, and Mediation in Database Management Systems
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : Clustering methods are of a particular interest to discover and to summarize the structure of a data set. However, interpreting clusters may be abstruse for unexperienced users who most of the time possess their own vocabulary to describe data and properties. In this article, an approach is proposed to determine and quantify how appropriate a user-defined vocabulary is regarding the structure captured on the data distribution using a clustering method. Two measures of vocabulary appropriateness based on clustering are proposed and tested on artificial data.
Type de document :
Communication dans un congrès
IEEE International Conference on Fuzzy Systems (Fuzz-IEEE 2013), Jul 2013, Hyderabad, India. IEEE, pp.1-8, 2013, <10.1109/FUZZ-IEEE.2013.6622553>
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https://hal.inria.fr/hal-00906980
Contributeur : Olivier Pivert <>
Soumis le : mercredi 20 novembre 2013 - 15:47:33
Dernière modification le : jeudi 9 février 2017 - 16:04:34

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Marie-Jeanne Lesot, Grégory Smits, Olivier Pivert. Adequacy of a User-Defined Vocabulary to the Data Structure. IEEE International Conference on Fuzzy Systems (Fuzz-IEEE 2013), Jul 2013, Hyderabad, India. IEEE, pp.1-8, 2013, <10.1109/FUZZ-IEEE.2013.6622553>. <hal-00906980>

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