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

G. Campos, A. Zimek, J. Sander, R. Campello, B. Micenková, E. Schubert, I. Assent, and M. Houle. Data Min. Knowl. Discov. 30 (4): 891-927 (2016)

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URL:: http://dblp.uni-trier.de/db/journals/datamine/datamine30.html#CamposZSCMSAH16
BibTeX key:: campos2016evaluation
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%0 Journal Article
%1 campos2016evaluation
%A Campos, Guilherme Oliveira
%A Zimek, Arthur
%A Sander, Jörg
%A Campello, Ricardo J. G. B.
%A Micenková, Barbora
%A Schubert, Erich
%A Assent, Ira
%A Houle, Michael E.
%D 2016
%J Data Min. Knowl. Discov.
%K anomaly detection evaluation outlier unsupervised
%N 4
%P 891-927
%T On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study.
%U http://dblp.uni-trier.de/db/journals/datamine/datamine30.html#CamposZSCMSAH16
%V 30

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study.

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

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