The influence of feature grouping algorithm in outlier detection with categorical data
Outlier mining has become a rapidly developing domain over the recent years with increasing importance in the fields like banking, sensor networks, and health care. In general, anomaly detection methods are compatible with numerical data and ignore categorical data. However, in real-time problems,...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Português |
| 出版事項: |
Universidade Estadual de Maringá
2024-04-01
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| シリーズ: | Acta Scientiarum: Technology |
| 主題: | |
| オンライン･アクセス: | https://periodicos.uem.br/actascitechnol/index.php/ActaSciTechnol/article/view/66902 |
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