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What is Outlier Detection Methods about?

Outlier analysis involves identifying data points that deviate significantly from the norm, which can reveal hidden information and improve data quality. There are various categories of outliers, including global, collective, and contextual, each requiring different detection methods such as supervised, unsupervised, statistical, and proximity-based approaches. The successful detection of outliers is crucial in various fields, including finance, network security, and manufacturing, as they can indicate sign

Author

sreejadas810b

Language

EN