Successes and New Directions in Data Mining

Florent Masseglia 1 Pascal Poncelet 2 Maguelonne Teisseire 2
1 AxIS - Usage-centered design, analysis and improvement of information systems
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Paris-Rocquencourt
2 TATOO - Fouille de données environnementales
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Successes and New Directions in Data Mining addresses existing solutions for data mining, with particular emphasis on potential real-world applications. Capturing defining research on topics such as fuzzy set theory, clustering algorithms, semi-supervised clustering, modeling and managing data mining patterns, and sequence motif mining, this book is an indispensable resource for library collections.
Type de document :
Ouvrage (y compris édition critique et traduction)
IDEA Group, pp.1-369, 2007, 13 978-1599046457
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00365422
Contributeur : Pascal Poncelet <>
Soumis le : mardi 3 mars 2009 - 14:25:28
Dernière modification le : mercredi 21 novembre 2018 - 19:48:04

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  • HAL Id : lirmm-00365422, version 1

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Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. Successes and New Directions in Data Mining. IDEA Group, pp.1-369, 2007, 13 978-1599046457. 〈lirmm-00365422〉

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