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A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
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2
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
“…—In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
Get full text
Article -
3
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
Get full text
Article -
4
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
Get full text
Article -
5
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
Get full text
Article -
6
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
Get full text
Article -
7
A Systematic Review of Anomaly Detection within High Dimensional and Multivariate Data
Published 2023“…In data analysis, recognizing unusual patterns (outliers’ analysis or anomaly detection) plays a crucial role in identifying critical events. …”
Get full text
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8
Artificial immune system based on real valued negative selection algorithms for anomaly detection
Published 2015“…The results shown in this study illustrate the effectiveness of the anomaly detection techniques on Iris, Balance-Scale, Lenses and Hayes-Roth datasets. …”
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Thesis -
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
Published 2018“…This signifies that CSDE-V-Detectors can efficiently attain highest detection rates and lowest false alarm rates for anomaly detection. Thus, the optimization of the randomly detectors of V-Detectors algorithm with CSDE is proficient and suitable for anomaly detection tasks.…”
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Thesis