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A Mobile Application for Analysing and Forecasting Crime using ARIMA with ANN

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dc.contributor.author Megalathan, Gajaanuja
dc.date.accessioned 2024-04-24T08:37:35Z
dc.date.available 2024-04-24T08:37:35Z
dc.date.issued 2023
dc.identifier.citation Megalathan, Gajaanuja (2023) A Mobile Application for Analysing and Forecasting Crime using ARIMA with ANN. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 20191099
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2046
dc.description.abstract "Crime is one of our society's most intimidating and threatening challenges. With the majority of the population residing in cities, many experts and data provided by local authorities suggest a rapid increase in the number of crimes committed in these cities in recent years. There has been an increasing graph in the crime rates. People living in Sri Lanka have the right to know the exact crime rates and the crime rates in the future of the place they are living in. Due to the current economic crisis the crime rates have spiked. There have been so many thefts and murders recorded within the last 6-10 months. Although there are many sources to find out there is no solid way of searching and finding out the safety of the place. Due to all these reasons, there is a need for the public to feel safe when they are introduced to new places. Through this research, the author aims to develop a mobile application that will be a solution for this problem. It is mainly targeted at tourists and people who recently relocated will gain advantage of this application. Moreover, the Arima Model combined with ANN is to be used to predict crime rates. From the past researchers works it is evidently clear that they haven’t used the Arima model combined with Artificial Neural Network to forecast crimes." en_US
dc.language.iso en en_US
dc.subject Arima model en_US
dc.subject Crime prediction en_US
dc.subject Data analysis en_US
dc.title A Mobile Application for Analysing and Forecasting Crime using ARIMA with ANN en_US
dc.type Thesis en_US


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