Univariate Numerical Outlier Detection Task
(Redirected from Univariate Continuous Outlier Detection)
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A Univariate Numerical Outlier Detection Task is a numerical outlier detection task that is a univariate numerical data analysis task (that accepts a univariate numerical dataset).
- AKA: Univariate Continuous Outlier Detection.
- Example(s):
- …
- Counter-Example(s):
- See: Multivariate Continuous Outlier Detection Task.
References
2006
- (Seo, 2006) ⇒ Songwon Seo. (2006). “A Review and Comparison of Methods for Detecting Outliers in Univariate Data Sets.” In: Masters Thesis, University of Pittsburgh. Journal.