Use of additional themes on data mining for felon pattern discovery simulation

Abstract

The aim of this research is to ascertain whether the data in existing Police recording systems can be used by existing mature data mining techniques in an efficient manner to achieve results that are more accurate than those achieved by Police specialists when analyzing crime. This study proposed a method classification, clustering, and prediction of the supervised criminal data. For classification is done by association rule indication and by using apriori algorithm to achieve the faster and better outcome form the system. newlineThe system is having a facility to file an online FIR is ready with various reports. As well as the Geospatial data mining is performed on data. So the Hotspot area and points are plotting are done on the map. newlineBy selecting the duration with the help of date from the tool will display the crime plot on the map. Which gives the information about FIR no, crime description and dates. newlineFiles on FIR gives us all details about crime area, city, and state and detail description of crime performed as well as the proof and photograph of the crime scene which is uploaded. So the crime description with evidence. newlineVarious Reports generation facility with graphs are also put it down in the tool like crime prediction for the upcoming year, crime-wise, city wise, age group wise, a crime against a child, a crime against women, crime committed against scheduled castes, crime committed against scheduled Tribes during last year. PHP is used to design graphical user interface, logic and MySQL are used for storing the data in the backend. newlineFor performance evaluation of the system, the researcher has collected data from the different police station and online fir registered complaints. All reports generated by the system is verified by the police essentials. System results are reviewed by the law enforcement experts result for different parameters like the place, gender, time, modulas operandi etc. The results show that system is efficient for criminal investigation. The technology cultivates the scenario of existing