Scelutrace : exploring crime patterns and insights in Quezon City through Philippines news articles using machine learning techniques / Jomark Barroga Amante
Material type:
TextPublication details: Manila : National University, 2023Description: xiii, 238 leaves ; 30 cmLOC classification: - UGT CCIT BSCS-DF .A43 2023
Thesis
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Thesis
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National University - Manila | LRC - Main Thesis | Digital Forensic | UGT CCIT BSCS-DF .A43 2023 c.2 (Browse shelf(Opens below)) | c.2 | Available | UGTHE000002609 |
Browsing LRC - Main shelves, Shelving location: Thesis, Collection: Digital Forensic Close shelf browser (Hides shelf browser)
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This study aims to have a deeper understanding of the crime landscape and provide valuable information for law enforcement agencies in formulating effective crime prevention strategies.
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