| Download | - View accepted manuscript: A Normalization Method for Contextual Data: Experience from a Large-scale Application (PDF, 609 KiB)
|
|---|
| Author | Search for: Létourneau, Sylvain; Search for: Matwin, S.; Search for: Famili, Fazel |
|---|
| Format | Text, Article |
|---|
| Conference | Proceedings of the 10th European Conference on Machine Learning (ECML-98), April 21-24, 1998., Chemnitz, Germany |
|---|
| 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. |
|---|
| Publication date | 1998 |
|---|
| Language | English |
|---|
| NRC number | NRCC 41559 |
|---|
| NPARC number | 8914471 |
|---|
| Export citation | Export as RIS |
|---|
| Report a correction | Report a correction (opens in a new tab) |
|---|
| Record identifier | 620e2bd5-1fd9-49a9-b19f-8e16e56c5e5f |
|---|
| Record created | 2009-04-22 |
|---|
| Record modified | 2020-03-20 |
|---|
