Document Clustering Approach for Forensic Analysis: A Survey
Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 12)Publication Date: 2014-12-05
Authors : Prachi K. Khairkar; D. A. Phalke;
Page : 1787-1791
Keywords : Document clustering; Forensic analysis; Text clustering; Clustering algorithms; Outlier Detection;
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.
Other Latest Articles
- Portable Acoustic Flashover Location Detector for Gas Insulated Switchgears at a Fraction of Cost
- FPGA Implementation of Noise Removal Images Using Modified Trimmed Median Filter
- Performance Evaluation of PAPR Reduction in OFDM based on Signal Distortion and Signal Scrambling Techniques
- Denoising by Wavelet Thresholding Applied to DHPIV
- Explanation of the Effect of Magnetic Field on laser Intensity on the Basic of Generalized Special Relativity
Last modified: 2021-06-30 21:15:01