Crime mapping and analysis in highly urbanized cities of Metro Manila, Philippines / Jaira Maria F. Bayot [and three others]
Material type:
- UGT CCIT BSCS-DF .B39 2017

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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National University - Manila | LRC - Main Thesis | Digital Forensic | UGT CCIT BSCS-DF .B39 2017 c.1 (Browse shelf(Opens below)) | c.1 | Available | UGTHE000001453 |
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UGT CCIT BSCS-DF .A66 2016 An analysis of election-related tweets through topic modeling / | UGT CCIT BSCS-DF .A88 2018 c.1 Neural network based suicidal behavior detection on twitter / | UGT CCIT BSCS-DF .A88 2018 c.2 Neural network based suicidal behavior detection on twitter / | UGT CCIT BSCS-DF .B39 2017 c.1 Crime mapping and analysis in highly urbanized cities of Metro Manila, Philippines / | UGT CCIT BSCS-DF .B39 2017 c.2 Crime mapping and analysis in highly urbanized cities of Metro Manila, Philippines / | UGT CCIT BSCS-DF .F84 2016 Classifying tweets related to the 2016 presidential election to determine social pulse / | UGT CCIT BSCS-DF .G55 2018 Towards the development of a speaker independent recognition for digital audio forensic analysis / |
Includes bibliographical references.
Title page -- Approval sheet -- Panel's recommendation sheet -- Abstract -- Editor's Certification -- Acknowledgments -- Table of contents -- List of figures -- List of tables -- Abstract -- Chapter I: Introduction -- Chapter II: Review of related literature and studies -- Chapter III: Methodology -- Chapter IV: Presentation, Analysis, and Interpretation of data -- Chapter V: Summary, conclusion and recommendation -- References -- Appendices.
Crime is one of the major problems here in the Philippines, it does not randomly occur, it is patterned. Information of patterns can help authorities deploy resources in a more effective manner, identify and apprehend suspects, and prevent crimes.
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