FuzBT: a Binary Approach for Fuzzy Tree Mining

Abstract : The use of XML in data exchanges has extensively grown for the last few years. Furthermore, huge volumes of data are sent through the Internet. Today data mining tools are required in order to provide users with automatic tools to deal with the heterogeneity of the data in order to query it. Some approaches have been proposed in order to mine sub-structures (subtrees) from such XML databases. However, they are usually based on crisp methods. Here we propose to soften these approaches to extract more understandable and relevant knowledge.
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Communication dans un congrès
IPMU: Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jul 2006, Paris, France. 2006
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00135015
Contributeur : Anne Laurent <>
Soumis le : mardi 6 mars 2007 - 12:32:55
Dernière modification le : jeudi 24 mai 2018 - 15:59:23
Document(s) archivé(s) le : mardi 6 avril 2010 - 22:40:13

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Stéphane Sanchez, Anne Laurent, Pascal Poncelet, Maguelonne Teisseire. FuzBT: a Binary Approach for Fuzzy Tree Mining. IPMU: Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jul 2006, Paris, France. 2006. 〈lirmm-00135015〉

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