Abstract: An outlier （also referred to as noise, novelty, anomaly, deviation, exception） is one that appears to deviate markedly from other members of the dataset in which it occurs. The purpose of outlier detection is to find the anomalous observation from dataset

Key words: Outliers, Outliers detection, Data streams