Downloads: 110
Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014
Document Clustering Approach for Forensic Analysis: A Survey
Prachi K. Khairkar | D. A. Phalke [5]
Abstract: Digital world is consist of a huge volume of data. In forensic analysis, large amount of data is examined. So its a difficult task for computer examiner to do such analysis in quick period of time. Thats why to do the forensic analysis of documents within short period of time requires special approach such as Document Clustering. This paper reviews different existing Document clustering methods for example, K-means, K medoids, Single Link, Complete Link and Average Link in accordance with computer forensic analysis. In this paper we also give comparative study of different computer forensic analysis techniques and we propose enhance clustering algorithm which will improve accuracy of clustering to finding relevant documents from huge amount of data and speeds up computer examination process.
Keywords: Document clustering, Forensic analysis, Text clustering, Clustering algorithms, Outlier Detection
Edition: Volume 3 Issue 12, December 2014,
Pages: 1787 - 1791
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Downloads: 104
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015
Pages: 2114 - 2117Enhanced Document Clustering for Forensic Analysis
Rahul D. Kopulwar | Fazeel Irshad Zama
Downloads: 108
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015
Pages: 1983 - 1986An Improved Hierarchical Technique for Document Clustering
Priti B. Kudal [2] | Prof. Manisha Naoghare [2]