Perception based associations in time series data bases

I. Z. Batyrshin, L. B. Sheremetov

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

4 Citas (Scopus)

Resumen

The paper discusses different aspects of the development of perception-based decision making systems. These systems are based on inference procedures transforming associations extracted from the time series data bases into generalized-constraint inference rules. Different types of simple and composite perception based constraints are discussed. Various measures of association between time series in the presence of perception based constraints are considered: association rules, association rules with perception based frequencies, correlation rules, and local trend associations based on moving approximations. Finally, the methods of transformation of these associations into the inference rules that can be used in perception based reasoning are proposed.

Idioma originalInglés
Título de la publicación alojadaAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
Páginas655-660
Número de páginas6
DOI
EstadoPublicada - 2006
Publicado de forma externa
EventoNAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society - Montreal, QC, Canadá
Duración: 3 jun. 20066 jun. 2006

Serie de la publicación

NombreAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Conferencia

ConferenciaNAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society
País/TerritorioCanadá
CiudadMontreal, QC
Período3/06/066/06/06

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