LoOP: Local outlier probabilities

Hans Peter Kriegel*, Peer Kröger, Erich Schubert, Arthur Zimek

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Many outlier detection methods do not merely provide the decision for a single data object being or not being an outlier but give also an outlier score or "outlier factor" signaling "how much" the respective data object is an outlier. A major problem for any user not very acquainted with the outlier detection method in question is how to interpret this "factor" in order to decide for the numeric score again whether or not the data object indeed is an outlier. Here, we formulate a local density based outlier detection method providing an outlier "score" in the range of [0, 1] that is directly interpretable as a probability of a data object for being an outlier.

Original languageEnglish
Title of host publicationProceedings of the 18th ACM conference on Information and knowledge management
PublisherAssociation for Computing Machinery
Publication dateDec 2009
Pages1649-1652
ISBN (Print)978-1-60558-512-3
DOIs
Publication statusPublished - Dec 2009
Externally publishedYes
EventACM 18th International Conference on Information and Knowledge Management - Hong Kong, China
Duration: 2. Nov 20096. Nov 2009

Conference

ConferenceACM 18th International Conference on Information and Knowledge Management
CountryChina
CityHong Kong
Period02/11/200906/11/2009
SponsorACM SIGIR, ACM SIGWEB

Keywords

  • Outlier detection

Cite this

Kriegel, H. P., Kröger, P., Schubert, E., & Zimek, A. (2009). LoOP: Local outlier probabilities. In Proceedings of the 18th ACM conference on Information and knowledge management (pp. 1649-1652). Association for Computing Machinery. https://doi.org/10.1145/1645953.1646195
Kriegel, Hans Peter ; Kröger, Peer ; Schubert, Erich ; Zimek, Arthur. / LoOP : Local outlier probabilities. Proceedings of the 18th ACM conference on Information and knowledge management. Association for Computing Machinery, 2009. pp. 1649-1652
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Kriegel, HP, Kröger, P, Schubert, E & Zimek, A 2009, LoOP: Local outlier probabilities. in Proceedings of the 18th ACM conference on Information and knowledge management. Association for Computing Machinery, pp. 1649-1652, ACM 18th International Conference on Information and Knowledge Management, Hong Kong, China, 02/11/2009. https://doi.org/10.1145/1645953.1646195

LoOP : Local outlier probabilities. / Kriegel, Hans Peter; Kröger, Peer; Schubert, Erich; Zimek, Arthur.

Proceedings of the 18th ACM conference on Information and knowledge management. Association for Computing Machinery, 2009. p. 1649-1652.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Kriegel HP, Kröger P, Schubert E, Zimek A. LoOP: Local outlier probabilities. In Proceedings of the 18th ACM conference on Information and knowledge management. Association for Computing Machinery. 2009. p. 1649-1652 https://doi.org/10.1145/1645953.1646195