Anomaly Detection in Categorical Datasets with Artificial Contrasts
abstract: Anomaly is a deviation from the normal behavior of the system and anomaly detection techniques try to identify unusual instances based on deviation from the normal data. In this work, I propose a machine-learning algorithm, referred to as Artificial Contrasts, for anomaly detection in cate...
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| Format: | Dissertation |
| Language: | English |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/2286/R.I.40782 |