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Case Studies | Computer Science and Information Technology | Volume 13 Issue 11, November 2024 | Pages: 149 - 152 | United States
Prompt Identification: Service Outage Prediction through Anomaly Detection
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.
Keywords: Oracle Cloud, OCI Anomaly detection, service disruption
How to Cite?: Binoj Melath Nalinakshan Nair, "Prompt Identification: Service Outage Prediction through Anomaly Detection", Volume 13 Issue 11, November 2024, International Journal of Science and Research (IJSR), Pages: 149-152, https://www.ijsr.net/getabstract.php?paperid=SR241101214037, DOI: https://dx.doi.org/10.21275/SR241101214037