Distributed Strategies for Mining Outliers in Large Data Sets

We introduce a distributed method for detecting distance-based outliers in very large data sets. Our approach is based on the concept of outlier detection solving set [2], which is a small subset of the data set that can be also employed for predicting novel outliers. The method exploits parallel co...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 25; H. 7; S. 1520 - 1532
Hauptverfasser:	Angiulli, F., Basta, S., Lodi, S., Sartori, C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2013
Schlagworte:	Arrays Data mining Decision support systems Distance-based outliers Distributed databases Nickel outlier detection parallel and distributed algorithms Upper bound
ISSN:	1041-4347
Online-Zugang:	Volltext
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