An Effective and Secure Keyword Set Search in Large Amount of Datasets

Abstract

In computer Data set analysis, hundreds of files are usually examined. Much of the data in those files consists of unstructured text, whose analysis by computer examiners is difficult to be performed. In this context, automated methods of analysis are of great interest. In particular, algorithms for clustering documents can facilitate the discovery of new and useful knowledge from the documents under analysis we present an approach that applies document clustering algorithms to forensic analysis of computers seized in police investigation. We illustrate the proposed approach and get the lines and clustering word matching lines. We also present and discuss several practical results that can be useful for researchers and practitioners of Data set.