Plagiarism Detection Using Artificial Intelligence Technique In Multiple Files
Journal: International Journal of Scientific & Technology Research (Vol.5, No. 4)Publication Date: 2016-04-15
Authors : Mausumi Sahu;
Page : 111-114
Keywords : k-nearest neighbor; machine learning; plagiarism detection; text matching.;
Abstract
Plagiarism relates to the act of taking information or ideas of someone else and demand it as your own. Basically it reproduce the existing information in modified format. In every field of education it becomes a serious issue. Various techniques and tools are derived these days to detect plagiarism. Various types of plagiarism are there like text matching copy paste grammar based method etc.This paper proposes a new method implemented in a program where we utilise a text set to identify the copied part by comparing with some existing multiple files. Here we put the concept of a machine learning language i.e k-NN. It helps us to identify whether a paper is plagiarized or not.
Other Latest Articles
- Large-Scale Shell Model Calculations Of 134136Sn 134136Te Around Doubly-Magic 132Sn
- Work Function Calculation For Hafnium- Barium System
- Using Deep Learning Neural Networks To Find Best Performing Audience Segments
- A Knowledge Management Strategy To Achieve Organisation Competitiveness
- Contract Management Monitoring And Evaluation Of Ghana School Feeding Programme At Atwima Kwanwoma District
Last modified: 2017-06-11 22:48:50