Discovering Useful Knowledge from Aircraft Operation/Maintenance Data

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TypeArticle
ConferenceProceedings of the Workshop on Machine Learning in the Real World, at the 14th International Conference on Machine Learning, July 8-12, 1997., London, England
AbstractIn this paper we present an overview of our research in discovering useful knowledge from data acquired during the operation and maintenance of a fleet of commercial aircraft. In particular, we discuss the application domain and explain some of the constraints that we have encountered in analyzing this data. We present the approach that we have developed to efficiently analyze large amounts of diverse forms of data available in this domain. Preliminary results for one of the problems that we have investigated are given.Further work and challenging issues are proposed at the end.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number40199
NPARC number5755863
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Record identifier7e2ce5a0-1462-47ea-b0a5-5889e2045ca9
Record created2008-12-02
Record modified2016-05-09
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