Dang Le Khoa

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Outlier detection is a process to identify rare or abnormal observations in the data. Distance based techniques can find only global outliers whereas density based techniques can capture local outliers based on their neighborhood densities. We present a method to find outliers using 'commute time distance' which is computed from a random walk of a weighted(More)
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