On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study - Concepedia

Concepedia

Publication | Open Access

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

DOI Full Paper Access

714

Citations

58

References

2016

Year

Guilherme O. Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle

Data Mining and Knowledge Discovery

Anomaly DetectionEmpirical StudyData ScienceData MiningPattern RecognitionEngineeringRobust StatisticOutlier DetectionKnowledge DiscoveryNovelty DetectionStatisticsUnsupervised Outlier DetectionUnsupervised Machine Learning

References

	Year	Citations

Page 1

Page 1