Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/3113
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJiffriya, M.A.C.-
dc.contributor.authorJahan, M.A.C. Akmal-
dc.contributor.authorRagel, Roshan G-
dc.contributor.authorDeegalla, Sampath-
dc.date.accessioned2018-07-25T04:24:15Z-
dc.date.available2018-07-25T04:24:15Z-
dc.date.issued2013-12-17-
dc.identifier.citation8th International Conference on "Industrial and Information Systems". 17-20 Dec, 2013. Peradeniya, Sri Lanka.en_US
dc.identifier.issn2164-7011-
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/3113-
dc.identifier.urihttps://doi.org/10.1109/ICIInfS.2013.6732013-
dc.description.abstractPlagiarism is one of the growing issues in academia and is always a concern in Universities and other academic institutions. The situation is becoming even worse with the availability of ample resources on the web. This paper focuses on creating an effective and fast tool for plagiarism detection for text based electronic assignments. Our plagiarism detection tool named AntiPlag is developed using the tri-gram sequence matching technique. Three sets of text based assignments were tested by AntiPlag and the results were compared against an existing commercial plagiarism detection tool. AntiPlag showed better results in terms of false positives compared to the commercial tool due to the pre-processing steps performed in AntiPlag. In addition, to improve the detection latency, AntiPlag applies a data clustering technique making it four times faster than the commercial tool considered. AntiPlag could be used to isolate plagiarized text based assignments from non-plagiarised assignments easily. Therefore, we present AntiPlag, a fast and effective tool for plagiarism detection on text based electronic assignments.en_US
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.subjectTerms-plagiarism detectionen_US
dc.subjectAntiPlagen_US
dc.subjectElectronic assignmentsen_US
dc.titleAntiPlag: plagiarism detection on electronic submissions of text based assignmentsen_US
dc.typeArticleen_US
Appears in Collections:Research Articles

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.