2003 | OriginalPaper | Buchkapitel
On Complementarity of Cluster and Outlier Detection Schemes
verfasst von : Zhixiang Chen, Ada Wai-Chee Fu, Jian Tang
Erschienen in: Data Warehousing and Knowledge Discovery
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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We are interested in the problem of outlier detection, which is the discovery of data that deviate a lot from other data patterns. Hawkins [7] characterizes an outlier in a quite intuitive way as follows: An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism.