Classification Rules + Time = Temporal rules

Cotofrei, Paul; Stoffel, Kilian

doi:10.1007%2F3-540-46043-8_58

Classification Rules + Time = Temporal rules

Auteur(s)

Cotofrei, Paul

Institut du management de l'information

Stoffel, Kilian

Institut du management de l'information

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

Temporal Data Mining

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

Identifiants

https://libra.unine.ch/handle/123456789/11205

_

10.1007%2F3-540-46043-8_58

Autre version

http://link.springer.com/chapter/10.1007%2F3-540-46043-8_58