erio crucecia | Makerere University Kampala (original) (raw)
Uploads
Papers by erio crucecia
Crime analysis and prediction is a systematic approach for identifying and analyzing patterns and... more Crime analysis and prediction is a systematic approach for identifying and analyzing patterns and trends in crime. Crime analysis is an area of vital importance to the police department. Study of crime data can help the police department to analyze crime patterns, interrelated clues and important hidden relations between the crimes, that is why data mining can be of great aid to analyze, visualize and predict crime using crime data sets. [1] Classification and correlation of data sets makes it easy to understand similarities & differences amongst the data objects. The focus is on criminality of places rather than the tracing of individual criminals. The main users of the system will be the police force who from time to time shall be able to predict the possibility of crime occurrence in the nearest future as well a particular time the crime will likely occur. In this paper we basically look at kmeans clustering algorithm for data mining and use it to generate hotspots of criminal activity and also use it to predict the chance of crime occurring in the nearest future. This analysis may help the law enforcement of the country to take a more accurate decision for example allocation of more resources like police officers in the crime prone areas [2].
Crime analysis and prediction is a systematic approach for identifying and analyzing patterns and... more Crime analysis and prediction is a systematic approach for identifying and analyzing patterns and trends in crime. Crime analysis is an area of vital importance to the police department. Study of crime data can help the police department to analyze crime patterns, interrelated clues and important hidden relations between the crimes, that is why data mining can be of great aid to analyze, visualize and predict crime using crime data sets. [1] Classification and correlation of data sets makes it easy to understand similarities & differences amongst the data objects. The focus is on criminality of places rather than the tracing of individual criminals. The main users of the system will be the police force who from time to time shall be able to predict the possibility of crime occurrence in the nearest future as well a particular time the crime will likely occur. In this paper we basically look at kmeans clustering algorithm for data mining and use it to generate hotspots of criminal activity and also use it to predict the chance of crime occurring in the nearest future. This analysis may help the law enforcement of the country to take a more accurate decision for example allocation of more resources like police officers in the crime prone areas [2].