Abstract
Outliers are those data that deviates significantly from the remaining data. Outliers has emerging applications in irregular credit card transactions, used to find credit card fraud, or identifying patients who shows abnormal symptoms due to suffering from a particular type of disease. This paper gives an idea about the various approaches and techniques used in outlier detection and the areas in which outlier detection is used and also about how outlier detection is handled in higher dimensional data.
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