Shaoyue Yu

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Outlier detection is an important data mining task, LOF(local outlier factor) was proposed to indicate the degree of outlier-ness, which is practical for finding local outliers. However, it is difficult to decide the neighborhood size. In this paper a multi-granularity local outlier detection(MLOD) method is proposed to organize the outlierness under(More)
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