Options
Temporal granular logic for temporal data mining
Maison d'édition
: IEEE
Date de parution
2005-7
De la page
417
A la page
422
Résumé
In this article, a formalism for a specific temporal data mining task (the discovery of rules, inferred from databases of events having a temporal dimension), is defined. The proposed theoretical framework, based on first-order temporal logic, allows the definition of the main notions (event, temporal rule, constraint) in a formal way. This formalism is then extended to include the notion of temporal granularity and a detailed study is made to investigate the formal relationships between semantics for the same event in linear time structures with different granularities.
Notes
, 2005
Nom de l'événement
IEEE International Conference on Granular Computing
Lieu
Pekin
Identifiants
Type de publication
conference paper
