Plagiarism Detection Process using Data Mining Techniques

Abstract

Plagiarism is a growing problem in today's digital age because of the widespread availability and increased use of computers and the Internet. The illegal and unjustified taking of another person's plagiarizing someone else's work. Plagiarism detection should be automated because it is a tedious task to perform manually. Plagiarism detection can be accomplished using a number of different methods. There are those that study and work on extrinsic plagiarism, while others focus on intrinsic plagiarism. The efficiency of the process can be increased and plagiarism can be detected with the use of data mining in this area. Plagiarism detection can be achieved through a variety of data mining methods. Helpful methods include text mining, clustering, bi-gram, tri-gram, and n-gram analysis.