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- W1760584418 abstract "The paper presents the knowledge discovery in serial measures (KDSM) methodology as an easy and optimal way for analyzing repeated very short serial measures with a blocking factor. An application to labor the domain is described using KDSM. A novel knowledge about labor domain's behavior was obtained once KDSM was applied to this specific domain. KDSM is a hybrid methodology (statistic and artificial intelligence) that gives a possible solution to a knowledge problem, especially when seemingly there are no relevant attributes." @default.
- W1760584418 created "2016-06-24" @default.
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- W1760584418 date "2005-06-07" @default.
- W1760584418 modified "2023-09-30" @default.
- W1760584418 title "Using the KDSM Methodology for Knowledge Discovery from a Labor Domain" @default.
- W1760584418 cites W1780809910 @default.
- W1760584418 doi "https://doi.org/10.1109/snpd-sawn.2005.79" @default.
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