Academic Journal Plagiarism Checker Using Tri-Gram Algorithm and KNN Algorithm
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Date
2022-12
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Lead City University
Abstract
Academic journal plagiarism checker using data mining is aimed at checking for plagiarism in journals submitted by students, in which the research title has a unique name since two journals in the database are not allowed to have similar titles. The main goal of this thesis is to develop a journal plagiarism checker and provide an interface that will be used for journal submission and check for plagiarism. The objectives in achieving the set goal are: Designing of the document repository, design of the design of the plagiarism checker algorithm and the development of the whole system with HTML, CSS, PHP, JavaScript, Xamp Server. The system is targeted to helping students take their research seriously and also to reduce the rate at which students plagiarize in their research work and to also help students with the selection of research topic that has not been done by someone else before so as to prevent plagiarism. The journal plagiarism checker makes use of clustering techniques in data mining and KNN algorithm and Trigram algorithm is deployed for the implementation of the system. The system will give accurate plagiarism report and it will take less time to complete its execution. The cost of implementing the system is minimal compared to the cost of other plagiarism tools available online. The system is deployed into the Department of Computer Science in Lead City University.
Keywords: Plagiarism, KNN Algorithm, Trigram Algorithm, Journal.
Word Count: 232
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Kate Turabian