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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.
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Contributor : Pascal Poncelet <>
Submitted on : Tuesday, March 3, 2009 - 2:25:28 PM
Last modification on : Thursday, June 3, 2021 - 3:32:11 PM


  • HAL Id : lirmm-00365422, version 1



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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