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A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data

Zhang, Ke; Hutter, Marcus; Jin, Huidong

Description

Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection methods are ineffective on scattered real-world datasets due to implicit data patterns and parameter setting issues. We define a novel Local Distance-based Outlier Factor (LDOF) to measure the outlier-ness of objects in scattered datasets which addresses these issues. LDOF uses the relative location of an object to...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Conference paper
URI: http://hdl.handle.net/1885/14967
DOI: 10.1007/978-3-642-01307-2_84

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