| Download | - View accepted manuscript: A Normalization Method for Contextual Data: Experience from a Large-scale Application (PDF, 609 KB)
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| Author | Search for: Létourneau, Sylvain; Search for: Matwin, S.; Search for: Famili, Fazel |
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| Format | Text |
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| Type | Article |
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| Conference | Proceedings of the 10th European Conference on Machine Learning (ECML-98), April 21-24, 1998., Chemnitz, Germany |
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| Abstract | This paper describes a pre-processing technique to normalize contextually-dependent data before applying Machine Learning algorithms. Unlike many previous methods, our approach to normalization does not assume that the learning task is a classification task. We propose a data pre-processing algorithm which modifies the relevant attributes so that the effects of the contextual attributes on the relevant attributes are cancelled. These effects are modeled using a novel approach, based on the analysis of variance of the contextual attributes. The method is applied on a massive data repository in the area of aircraft maintenance. |
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| Publication date | 1998 |
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| Terms of use | |
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| Language | English |
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| NRC number | 41559 |
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| NPARC number | 8914471 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction |
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Record identifier | 620e2bd5-1fd9-49a9-b19f-8e16e56c5e5f | | Record created | 2009-04-22 |
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| Record modified | 2019-03-14 |
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