Background:- Data understanding: Before starting to process further discussion related to data mining techniques. First of all, try to understand the real crime data of Philadelphia. Philadelphia, Pennsylvania’s largest city is notable for its rich history, on display at the Liberty Bell, Independence Hall (where the Declaration of Independence and Constitution were signed) and other American Revolutionary sites. Also iconic are the steps of the Philadelphia Museum of Art, immortalized by Sylvester Stallone’s triumphant run in the film “Rocky.” On the other hand, crime situation in Philadelphia is more than expected so, organizations in Philadelphia provides open source data for the one who are interested to find insights by using this huge …show more content…
And these maps are not interactive. For example, related research work containing a dataset for the city of Philadelphia with crime information from year 1991 - 1999. It was focusing on the existence of multi-scale complex relationships between both space and time [1]. Other existing works explore relationships between the criminal activity and the socio-economics variables such as education, ethnicity, income level, and unemployment …show more content…
In addition, there is very little research that can accurately predict where crimes will happen in future by using the interactive dashboards. Most of the previous research was focused on the statistics of crime. But in our study, we will provide the statistics of crime like; how much crime happened by year, month, day, hour wise and which type of crime is occurred more often but the main agenda of our study to provide a data mining model and the comparison of these algorithm by involving different factors for crime prediction based on crime type by specific location at specific time and the accuracy of data mining model and then integrate this model to data visualization tool to provide more clear cut information for our