You are here:
Publication details
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 | |
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. |
Related projects: |