An efficient and intelligent crime anomaly detection system for large urban area using hybrid machine learning techniques
Tayyab Naeem (S19A14G05036)
An efficient and intelligent crime anomaly detection system for large urban area using hybrid machine learning techniques - Faisalabad (unpublished) 2021 - xiii, 50 p. : ill. ; 30 cm.
Submitted In fulfillment of the requirement for the degree of Master of Sciences in Computer Science to the Faculty of Computing.
Includes bibliographical references and appendix.
Thesis supervisor: Mr. Muhammad Kashif Nazir
Thesis (MSCS)--Riphah International University, 2021
English
Computer science
Intelligent Crime--Crime--Learning techniques--Technology --FC
004 / TAY
An efficient and intelligent crime anomaly detection system for large urban area using hybrid machine learning techniques - Faisalabad (unpublished) 2021 - xiii, 50 p. : ill. ; 30 cm.
Submitted In fulfillment of the requirement for the degree of Master of Sciences in Computer Science to the Faculty of Computing.
Includes bibliographical references and appendix.
Thesis supervisor: Mr. Muhammad Kashif Nazir
Thesis (MSCS)--Riphah International University, 2021
English
Computer science
Intelligent Crime--Crime--Learning techniques--Technology --FC
004 / TAY