Carregant...
Carregant...

Vés al contingut (premeu Retorn)

KDSM methodology for knowledge discovery from a domain where repeated very short serial measures with a blocking factor are present

Autor
Rodas, J.; Alvarado, G.; Gibert, Karina; Rojo, E.; Cortes, U.
Tipus d'activitat
Document cientificotècnic
Data
2003-02
Codi
LSI-03-7-R
Repositori
http://hdl.handle.net/2117/97383 Obrir en finestra nova
Resum
Objective -- To present the Knowledge Discovery in Serial Measurement (KDSM) methodology for analyzing repeated very short serial measures with a blocking factor. Method -- An application to labor the domain is described using KDSM. Results -- Novel knowledge about labor domain's behavior was obtained once KDSM was applied to this specific domain. Conclusion -- KDSM has shown that important information has been missed, especially when the kind of data explained in this paper is analyzed with com...
Citació
Rodas, J., Alvarado, G., Gibert, Karina, Rojo, E., Cortes, C. "KDSM methodology for knowledge discovery from a domain where repeated very short serial measures with a blocking factor are present". 2003.
Paraules clau
KDSM, Knowledge discovery in serial measurement
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants

Arxius