Outlier Detection Task

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An Outlier Detection Task is a detection task that detects outlier observations in a data set.



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  • (Knorr & Ng, 1998) ⇒ E. Knorr, and Raymond Ng. (1998). “Algorithms for Mining Distance-based Outliers in Large Data Sets.” In: Proceedings of the 24th International Conference on Very Large Databases (VLDB 1998).
    • NOTES: It defines outliers as those data points (vectors) with values different from those of the remaining set of data.