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As data mining grows its significance in real world information extraction, we need a robust methodology without using rich assumptions. In detection of irregularities, statistical methods are very successful when we assume some distribution. However, even when we encounter data with unknown distribution, we must first assume some distribution, which may cause incorrect inference. This paper applies...