Outlier detection by rareness assumption

dc.contributor.author	Hrycej, Tomas
dc.contributor.author	Hipp, Jochen
dc.contributor.editor	Dadam, Peter
dc.contributor.editor	Reichert, Manfred
dc.date.accessioned	2019-10-11T11:42:32Z
dc.date.available	2019-10-11T11:42:32Z
dc.date.issued	2004
dc.description.abstract	A concept for identification of candidates for outliers is presented, with a focus on nominal variables. The database concerned is searched for rules that are almost universally valid, with rare exceptions. In statistical terms, for these rules, the hypothesis that the rule is universally valid except for random faults cannot be rejected. Outlier candidates are those values that violate these rules.	en
dc.identifier.isbn	3-88579-379-2
dc.identifier.pissn	1617-5468
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/28863
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	Informatik 2004 – Informatik verbindet – Band 1, Beiträge der 34. Jahrestagung der Gesellschaft für Informatik e.V. (GI)
dc.relation.ispartofseries	Lecture Notes in Informatics (LNI) - Proceedings, Volume P-50
dc.title	Outlier detection by rareness assumption	en
dc.type	Text/Conference Paper
gi.citation.endPage	248
gi.citation.publisherPlace	Bonn
gi.citation.startPage	244
gi.conference.date	20.-24. September 2004
gi.conference.location	Ulm
gi.conference.sessiontitle	Regular Research Papers

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