Prompt Identification: Service Outage Prediction through Anomaly Detection

Anomaly detection is the process of identifying unusual patterns or behaviors in data that do not conform to expected norms. These anomalies, often referred to as outliers, can indicate significant events such as fraud, network intrusions, equipment failures, or operational issues. Overall, anomaly detection is a crucial tool for maintaining system integrity and enhancing decision - making across various industries.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2024-11-05
DOI
https://doi.org/10.21275/sr241101214037
Primary Topic
Power System Reliability and Maintenance
Type
article
Field-Weighted Citation Impact
0.00
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article

Prompt Identification: Service Outage Prediction through Anomaly Detection

Binoj Melath Nalinakshan Nair
International Journal of Science and Research (IJSR)
Power System Reliability and Maintenance
article

Prompt Identification: Service Outage Prediction through Anomaly Detection

Binoj Melath Nalinakshan Nair
article en

Abstract

Anomaly detection is the process of identifying unusual patterns or behaviors in data that do not conform to expected norms. These anomalies, often referred to as outliers, can indicate significant events such as fraud, network intrusions, equipment failures, or operational issues. Overall, anomaly detection is a crucial tool for maintaining system integrity and enhancing decision - making across various industries.

International Journal of Science and Research (IJSR)Vol. 13(11)
Openalex Percentile: Top 76%
Power System Reliability and Maintenance
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Prompt Identification: Service Outage Prediction through Anomaly Detection — Binoj Melath Nalinakshan Nair · International Journal of Science and Research (IJSR) (2024) | TGRS Research Map | TGRS