Anomaly detection empowered by machine learning using WEKA
Maria Fatima (38633)
Anomaly detection empowered by machine learning using WEKA
- Lahore (Unpublished) 2023 - xiii, 6 p. : ill. ; 30 cm.
Submitted in fulfillment of requirements for the degree of Master of Sciences in Computer Science to the Faculty of Computing.
Theses Supervisor: Imran Ahmad
Thesis (MSCS)--Riphah International University, 2023
English
Computer networks
Computer
Anomaly detection
Machine learning
WEKA--FC--RCSI
004 / MAR
Anomaly detection empowered by machine learning using WEKA
- Lahore (Unpublished) 2023 - xiii, 6 p. : ill. ; 30 cm.
Submitted in fulfillment of requirements for the degree of Master of Sciences in Computer Science to the Faculty of Computing.
Theses Supervisor: Imran Ahmad
Thesis (MSCS)--Riphah International University, 2023
English
Computer networks
Computer
Anomaly detection
Machine learning
WEKA--FC--RCSI
004 / MAR