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    A Performance Analysis of Business Intelligence Techniques on Crime Prediction 

    Ivan, Niyonzima; Emmanuel Ahishakiye; Elisha Opiyo Omulo; Ruth Wario (International Journal of Computer and Information Technology, 2017)
    Law Enforcement agencies are faced with a problem of effectively predicting the likelihood of crime happening given the past crime data which would otherwise help them to do so. There is a need to identify the most efficient ...
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    Crime Prediction Using Decision Tree (J48) Classification Algorithm. 

    Ivan, Niyonzima; Emmanuel Ahishakiye; Elisha Opiyo Omulo; Danison Taremwa (International Journal of Computer and Information Technology, 2017)
    There had been an enormous increase in the crime in the recent past. Crimes are a common social problem affecting the quality of life and the economic growth of a society. With the increase of crimes, law enforcement ...
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    Developing Countries and Blockchain Technology: Uganda’s Perspective 

    Ivan, Niyonzima; Ruth Wario; Emmanuel Ahishakiye (International Journal of Latest Research in Engineering and Technology, 2018)
    Blockchain is receiving ever-growing attention from research and industry and is considered a breakthrough technology. This paper presents an overview of Blockchain Technology and its potential applications in developing ...

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    Author
    Emmanuel Ahishakiye (3)
    Ivan, Niyonzima (3)Elisha Opiyo Omulo (2)Ruth Wario (2)Danison Taremwa (1)SubjectBlockchain Technology; Developing Countries; Blockchain; Blockchain Applications (1)crime prediction; machine learning; decision tree; J48; artificial intelligence; Classification Algorithms. (1)Law Enforcement Agencies; crime prediction; Business Intelligence; WEKA; Performance Analysis (1)... View MoreDate Issued2017 (2)2018 (1)Has File(s)Yes (3)

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