TITLE

Understanding Anomaly Detection

AUTHOR(S)
DADA, GERARDO
PUB. DATE
October 2017
SOURCE
Database Trends & Applications;Oct/Nov2017, Vol. 31 Issue 5, p27
SOURCE TYPE
Periodical
DOC. TYPE
Article
ABSTRACT
The article discusses the two popular methods for detecting anomalies in statistics which includes standard deviation and percentiles. It mentions impact of datapoint variance from the mean, on size of the standard deviation. It also states the factors influencing percentiles such as sensitivity, dispersion and normal distribution of values.
ACCESSION #
126247146

 

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