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Towards Outlier Detection For Scattered Data and Mixed Attribute Data

Zhang, Ke

Description

Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world knowledge discovery and data mining (KDD) applications. The research work in this thesis starts with a critical review on the latest and most popular methodologies available in outlier detection area. Based on a series of performance evaluation of these algorithms, two major issues that exist in outlier detection, namely...[Show more]

CollectionsOpen Access Theses
Date published: 2010
Type: Thesis (MPhil)
URI: http://hdl.handle.net/1885/110539

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