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Title:
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KDSM methodology for knowledge discovery from a domain where repeated very short serial measures with a blocking factor are present
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Author:
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Rodas, Jorge; Alvarado, Gabriela; Gibert, Karina; Rojo, Emilio; Cortés García, Claudio Ulises
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa; Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic |
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Abstract:
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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 common statistical methods and artificial
intelligence techniques, independently employed. |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
-KDSM
-Knowledge discovery in serial measurement |
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Rights:
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Document type:
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Article - Published version
Report |
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