International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 91 - Number 3 |
Year of Publication: 2014 |
Authors: G. Thilagavathi, J. Anitha |
10.5120/15860-4784 |
G. Thilagavathi, J. Anitha . Document Clustering in Forensic Investigation by Hybrid Approach. International Journal of Computer Applications. 91, 3 ( April 2014), 14-19. DOI=10.5120/15860-4784
Digital Forensic Investigation is the branch of scientific forensic process for investigation of material found in digital devices related to computer crimes. Digital evidence analogous to particular incident is any digital data that provides hypothesis about incident. The essential part of Digital forensic Process is to analyze the documents present on suspect's computer. Due to increasing count of documents and larger size of storage devices makes very difficult to analyze the documents on computer. To overcome these problems, a subject based semantic document clustering algorithm along with bisecting-kmeans has been proposed that allows the examiner to analyze and cluster the documents based on particular subject and also the terms that does not belong to any subject. The accuracy of clustering of documents has been improved by means of this hybrid approach.