Abstract
To present the Knowledge Discovery in Serial Measurement (KDSM) methodology for analyzing repeated very short serial measures with a blocking factor. An application to employment the domain is described using KDSM. Novel knowledge about labor domain's behavior was obtained once KDSM was applied to this specific domain. 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.
JORGE RODAS, GABRIELA ALVARADO. (2016) Using the KSDM Methodology for Knowledge Discovery from An Employment Domain where Repeated Very Short Serial Measures with a Blocking Factor are Present, International Review of Management and Business Research, Volume 5, Issue 1.
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