Engendrement de connaissances à partir de données industrielles

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TypeArticle
ConferenceExpertise informatique, May 1997.
Volume3(1)
Subjectdata analysis; knowledge generation; machine learning
AbstractThis article presents a perspective on the overall process of knowledge discovery from databases. Specifically, we provide an overview of why discovering useful knowledge from industrial data is important, who benefits from the newly acquired knowledge, and how this can be achieved. The steps taken in the knowledge discovery are briefly presented and a few methods are discussed. In particular, we explain data preprocessing, use of machine learning techniques to analyze industrial data, and the process of summarizing the results generated through this data analysis. Finally, we give an example of applying knowledge discovery techniques to data collected from anaerospace application. Some challenging remarks are given at the end.
Publication date
LanguageFrench
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number40178
NPARC number8913975
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Record identifier5648f4a7-01e6-4248-81b8-a97a4f3c674a
Record created2009-04-22
Record modified2016-05-09
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