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Classification Rules + Time = Temporal rules
Editeur(s)
Sloot, Peter
Tan, Chih Jeng Kenneth
Dongarra, Jack
Hoekstra, Alfons
Maison d'édition
: Springer-Verlag Berlin
Date de parution
2002-4
De la page
572
A la page
581
Mots-clés
Résumé
Due to the wide availability of huge data collection comprising multiple sequences that evolve over time, the process of adapting the classical data-mining techniques, making them capable to work into this new context, becomes today a strong necessity. In [1] we proposed a methodology permitting the application of a classification tree on sequential raw data and the extraction of the rules having a temporal dimension. In this article, we propose a formalism based on temporal first logic-order and we review the main steps of the methodology through this theoretical frame. Finally, we present some solutions for a practical implementation.
Notes
, 2002
Nom de l'événement
International Conference on Computational Science
Lieu
Amsterdam
Autre version
http://link.springer.com/chapter/10.1007%2F3-540-46043-8_58
Type de publication
Resource Types::text::conference output::conference proceedings::conference paper
