Document Clustering for Forensic Analysis

Nita Gawali, Smita Saravade, Sharwari Dadali
2016 International Journal of Scientific Research Engineering & Technology (IJSRET)   unpublished
In computer forensic analysis, thousands of files are usually examined. These files consist of unstructured text, whose analysis by computer examiners is difficult to be performed. In particular, algorithm for clustering documents can facilitate the discovery of new and useful knowledge from the document under analysis. We propose the system that applies document clustering algorithm to forensic analysis of computers sized in police investigation. In this proposed system we will use k-means algorithm
more » ... ill use k-means algorithm
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