On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
Data Min. Knowl. Discov., Volume 30, Issue 4, 2016, Pages 891-927.
Unsupervised outlier detectionEvaluationMeasuresDatasets
The evaluation of unsupervised outlier detection algorithms is a constant challenge in data mining research. Little is known regarding the strengths and weaknesses of different standard outlier detection models, and the impact of parameter choices for these algorithms. The scarcity of appropriate benchmark datasets with ground truth annot...More
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