A Two-Level Approach based on Integration of Bagging and Voting for Outlier Detection
The main aim of this study is to build a robust novel approach that is able to detect outliers in the datasets accurately. To serve this purpose, a novel approach is introduced to determine the likelihood of an object to be extremely different from the general behavior of the entire dataset.
Uloženo v:
| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
De Gruyter
2020-05-01
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| Edice: | Journal of Data and Information Science |
| Témata: | |
| On-line přístup: | https://doi.org/10.2478/jdis-2020-0014 |
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