A New Approach for Improving Computer Inspections by Using Fuzzy Methods for Forensic Data Analysis

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 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 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 algorithms are operated on single document at a time. In the proposed approach of these working algorithm applied on multiple documents at single time. Now we use clustering algorithm named as Hierarchical Agglomerative Clustering algorithm which gives better result compared with existing techniques. This algorithmic process will estimate the number of clusters in input documents and it takes less time for analyze the clusters in forensic analysis; they also find similarity between all documents in clusters. KeywordsClustering, Forensic Analysis, Clustering Algorithms, Hierarchical Agglomerative Clustering Algorithm.