A Framework For Documents Clustering For Forensic Analysis Using Text Features |
Author(s): |
| Prajakta Pendse , NBN Sinhagad School Of Engineering,Pune; Deepali Potnis , NBN Sinhagad School Of Engineering,Pune; Mrunal Salunke, NBN Sinhagad School Of Engineering,Pune; S.P.Patil, NBN Sinhagad School Of Engineering,Pune |
Keywords: |
| Clustering, Forensic analysis |
Abstract |
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In forensic analysis, large number of files are examined for investigation purpose. Data present in the files is unstructured text, whose manual analysis is tough task for examiner. Hence automated method is more useful than manual method. Clustering deals with finding a structure in a collection of unlabeled data. There are existing algorithms such as K-means, K-medoids, Single Link, Complete Link and Average Link. They simplify the process of detection of important information. In this paper we are proposing a new algorithm based on weighted matrix for text clustering for forensic analysis. |
Other Details |
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Paper ID: IJSRDV3I1206 Published in: Volume : 3, Issue : 1 Publication Date: 01/04/2015 Page(s): 443-445 |
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