Experimental Analysis of String Matching Algorithms in Document Clustering
Naveen Kumar1, Sanjay Kumar Yadav2, Rajesh Kumar Maurya3
1Naveen Kumar, Department of Computer Science and Information Technology, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, India.
2Sanjay Kumar Yadav, Department of Computer Science and Information Technology, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, India.
3Rajesh Kumar Maurya, Department of Computer Science and Information Technology, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, India.
Manuscript received on 10 April 2019 | Revised Manuscript received on 17 April 2019 | Manuscript Published on 26 April 2019 | PP: 778-781 | Volume-8 Issue-6S April 2019 | Retrieval Number: F61700486S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As the web is detonating with tremendous volume of content records, the need of collection comparative reports together for flexible applications have hold the consideration of specialists around there. Report grouping can encourage the errands of record association and web perusing; web index comes about, archives characterization, data recovery and sifting. Basically text clusters method deal with group of a formless gathering of documents into interpretation associated groups. The string coordinating issue has discovered wide application in software engineering, sub-atomic science, hereditary designing, semantics and numerous different fields. Through this paper, comparison and analysis of algorithms which deals with the duplicacy of the document content with the rest of the documents in the cloud. In this analysis to several classical algorithms.
Keywords: lustering, String Matching, Pattern Discovery, Document Clustering, Pattern Matching, Pre-processing, Text Mining.
Scope of the Article: Computer Science and Its Applications