Algorithm and Data Mining Application in Crime prediction Using Machine Learning: Perspective from, the United Kingdom
Abstract
Crimes are one of the major factors that affect various important decisions of an individual’s life like moving to a new place, roaming at right time, avoiding risky areas, etc.; crimes affect and defame the image of a community. Crimes also affect the economy of a nation by placing the financial burden on government due to the need for additional police forces, courts etc. As crimes are increasing drastically, we are at the alarming stage to reduce them at even faster rate. Crimes are common social problems in UK that affects the quality of life, economic growth and reputation of the country. Police in UK started trialing software designed by Accenture to identify gang members that were likely to commit violent crimes or reoffend. It began an unprecedented study drawing on five years of data that included previous crime rates and social media activity and by using data to fight crime is clearly not entirely novel, but to take this further, it is important to use data mining techniques especially with all the open data about crime that is available. By conducting a literature review study, it was established that crimes are treacherous and common social problem faced worldwide and affect the quality of life, economic growth, and reputation of a nation; there has been an enormous increase in crime rate in the last few years. In order to reduce the crime rate, the law enforcements in UK are taking the preventive measures with the aim of securing the society from crimes, there is a need for advanced systems and new approaches for improving the crime analytics for protecting their communities. Accurate real-time crime predictions help to reduce the crime rate but remains challenging problem for the scientific community as crime occurrences depend on many complex factors. The study also found that with an appropriate machine learning models, security apparatus have the ability to continually predict changes in criminal activities so that they are best able to predict what’s next. As data is constantly added, the machine learning models ensure that the solution is constantly updated. If one uses the most appropriate and constantly changing data sources in the context of machine learning, they have the opportunity to predict the future. While crime may not necessarily increase exponentially with a nation’s population, the total number of crimes can be contemplated to increase as the population increases. Hence, deterring crime becomes an important top priority for realizing a sustainable safe and smart city in any nation.
Keywords: Algorithm, Data Mining, Application, Crime, Prediction, Machine, Learning, United Kingdom. .
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