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An efficient and intelligent crime anomaly detection system for large urban area using hybrid machine learning techniques

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Material type: Text

TextPublication details: Faisalabad (unpublished) 2021Description: xiii, 50 p. : ill. ; 30 cmSubject(s):

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Dissertation note: Thesis (MSCS)--Riphah International University, 2021

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Books	Faisalabad Campus	004 TAY (Browse shelf(Opens below))	1	Available		82789

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Previous	004 SIN Computer fundamentals	004 SOH Hybrid rgb pixel based arbitrary selective image encryption algorithm with random embedding of electronic healthcare record	004 TAN A machine learning based hybrid techniques for optimal detection of breast cancer	004 TAY An efficient and intelligent crime anomaly detection system for large urban area using hybrid machine learning techniques	004 UMA An efficient parallel implemenation of advanced encryption standard in fog computing	004 WAL Comparative analysis of ip based wireless sensor network with named data network	004 WEV Window 8.1 for seniors	Next

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

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