Abstract
Data analysts look for patterns and characteristics in the large sets of data being collected under modern electronic conditions. When unusual circumstances occur, patterns within the data can alert oversight personnel to the incident before other traditional warning signs. This work utilized the standard deviation of single signal outputs for analysis. This data mining application was specifically applied to safety within the nuclear power industry.
Recommended Citation
Huddleston, Nicole
(2022)
"Data Mining to Save the World,"
American Journal of Rising Scholar Activities: Vol. 1
Article 4.
DOI: https://doi.org/10.7771/2692-4161.1003
Available at:
https://docs.lib.purdue.edu/ajrsa/vol1/iss1/4
