Hongqin Fan

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We present a novel resolution-based outlier notion and a nonparamet-ric outlier-mining algorithm, which can efficiently identify top listed outliers from a wide variety of datasets. The algorithm generates reasonable outlier results by taking both local and global features of a dataset into consideration. Experiments are conducted using both synthetic(More)
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