Forensic Document Analysis using Apriori Algorithm

Abstract

Today, we find a tremendous increase in crimes like ethical hacking, rackets on different domain packets, unauthorized entrance, in the digital world. So, we need to track such unauthorized access. Our forensic document analysis using apriori algorithm provides an approach which is used to find the evidence by analyzing such massive set of documents. In forensic analysis frequently we examine hundreds of thousands of file which is huge amount of data. Here, we group the retrieved documents into the meaningful categories list which is the most central process by using the k-representative algorithm. Hence we are specifying an approach for forensic analysis using document clustering algorithm helpful in police investigation.