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Modelli di Anomaly Detection in Real Time su metriche di performance di un Database Oracle = Real-Time Anomaly Detection Models on Performance Metrics of an Oracle Database

Giuseppe Urso

Modelli di Anomaly Detection in Real Time su metriche di performance di un Database Oracle = Real-Time Anomaly Detection Models on Performance Metrics of an Oracle Database.

Rel. Tania Cerquitelli. Politecnico di Torino, Master of science program in Engineering And Management, 2024

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Abstract:

Anomaly Detection in Real Time sul Database Oracle
Relators: Tania Cerquitelli
Academic year: 2023/24
Publication type: Electronic
Number of Pages: 62
Subjects:
Corso di laurea: Master of science program in Engineering And Management
Classe di laurea: New organization > Master science > LM-31 - MANAGEMENT ENGINEERING
Aziende collaboratrici: Mediamente Consulting srl
URI: http://webthesis.biblio.polito.it/id/eprint/32083
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