Filtering outliers to improve classification. First results
| Authors | |
|---|---|
| Year of publication | 2019 |
| Type | Article in Proceedings |
| Conference | Data a Znalosti & WIKT 2019 |
| MU Faculty or unit | |
| Citation | HETLEROVIĆ, Dušan and Lubomír POPELÍNSKÝ. Filtering outliers to improve classification. First results. Online. In Peter Butka, František Babič, Ján Paralič. Data a Znalosti & WIKT 2019. Košice: Fakulta elektrotechniky a informatiky - Technická univerzita v Košiciach, 2019, p. 124-128. ISBN 978-80-553-3354-0. |
| web | DaZ & WIKT 2019 - Zborník konferencie |
| Keywords | Outlier Detection; Data pre-processing; Classification |
| Description | In this work we describe preliminary experiments for exploring influence of outlier elimination to classifier accuracy. A workflow is a couple consisting of some pre-processing methods - outlier detection and filtering in our case - and a classifier. We describe a method for testing various workflows and bring first results. |
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