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

By: Material type: TextTextPublication details: Faisalabad (unpublished) 2021Description: xiii, 50 p. : ill. ; 30 cmSubject(s): DDC classification:
  • 004 TAY
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 Books Faisalabad Campus 004 TAY (Browse shelf(Opens below)) 1 Available 82789

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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