| Download | - View accepted manuscript: Discovering Useful Knowledge from Aircraft Operation/Maintenance Data (PDF, 528 KiB)
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| Author | Search for: Letourneau, Sylvain; Search for: Famili, Fazel; Search for: Matwin, S. |
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| Format | Text, Article |
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| Conference | Proceedings of the Workshop on Machine Learning in the Real World, at the 14th International Conference on Machine Learning, July 8-12, 1997., London, England |
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| Abstract | In 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. |
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| Publication date | 1997 |
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| Language | English |
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| NRC number | NRCC 40199 |
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| NPARC number | 5755863 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 7e2ce5a0-1462-47ea-b0a5-5889e2045ca9 |
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| Record created | 2008-12-02 |
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| Record modified | 2020-03-20 |
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