Abstract

Now a day’s digital world data in computers has great significance and this data is extremely critical in perspective for upcoming position and learn irrespective of different fields. Therefore we the assessment of such data is vital and imperative task. Computer forensic analysis a lot of data there in the digital campaign is study to extract data and computers consist of hundreds of thousands of files which surround shapeless text or data here clustering algorithms is of plays a great interest. Clustering helps to develop analysis of documents under deliberation. This document clustering analysis is extremely useful to analyze the data from seized devices like computers, laptops, hard disks and tablets etc. There are total six algorithms used for clustering of documents like K-means, K-medoids, single link, complete link, Average Link and CSPA. These six algorithms are used to cluster the digital documents. Existing document clustering algorithms are operated in single document at a time. In the proposed approach of these working algorithm applied on multiple documents at a time. Now we using clustering technique named as agglomerative hierarchical clustering which gives better finer clusters compared to existing techniques.

How to Cite
JYOTHI, S. MURALI KRISHNA, P.. A New Approach for Improving Computer Inspections by using Fuzzy Methods for Forensic Data Analysis. Global Journal of Computer Science and Technology, [S.l.], july 2015. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/1250>. Date accessed: 27 jan. 2021.