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Higher Order Temporal Rules
Editeur(s)
Sloot, Peter
Abramson, David
Bogdanov, Alexander
Dongarra, Jack
Zomaya, Albert
Gorbachev, Yuri
Maison d'édition
Berlin: Springer-Verlag Berlin
Date de parution
2003
In
Computational Science - ICCS 2003, Proceedings
No
2657
De la page
323
A la page
332
Collection
Computational Science
Résumé
The theoretical framework we proposed, based on first-order temporal logic, permits to define the main notions used in temporal data mining (event, temporal rule) in a formal way. The concept of consistent linear time structure allows us to introduce the notions of general interpretation and of confidence. These notions open the possibility to use statistical approaches in the design of algorithms for inferring higher order temporal rules, denoted temporal meta-rules.
Identifiants
Type de publication
book part
