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Data Mining Patterns: New Methods and Applications

Pascal Poncelet 1 Florent Masseglia 2 Maguelonne Teisseire 1
1 TATOO - Fouille de données environnementales
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 AxIS - Usage-centered design, analysis and improvement of information systems
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Paris-Rocquencourt
Abstract : ata Mining Patterns: New Methods and Applications provides an overall view of the recent solutions for mining, and also explores new kinds of patterns. This book offers theoretical frameworks and presents challenges and their possible solutions concerning pattern extractions, emphasizing both research techniques and real-world applications. Data Mining Patterns: New Methods and Applications portrays research applications in data models, techniques and methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming, incremental mining, and many other topics.
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Contributor : Pascal Poncelet <>
Submitted on : Tuesday, March 3, 2009 - 2:22:58 PM
Last modification on : Thursday, June 3, 2021 - 3:32:11 PM


  • HAL Id : lirmm-00365419, version 1



Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire. Data Mining Patterns: New Methods and Applications. IDEA Group, pp.307, 2007, 13 978-1599041629. ⟨lirmm-00365419⟩



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