NDLI: Performance efficiency in plagiarism indication detection system using indexing method with data structure 2

Content Provider	IEEE Xplore Digital Library
Author	Suryana, A.F. Wibowo, A.T. Romadhony, A.
Copyright Year	2014
Description	Author affiliation: Sch. of Comput., Telkom Univ., Bandung, Indonesia (Suryana, A.F.; Wibowo, A.T.; Romadhony, A.)
Abstract	Plagiarism is a form of cheating that has been so much happen. One of prevention is to make the anti-plagiarism system. The system that must compare a query document with all documents in the database requires a very long time. The more irrelevant document in database compare with the query that will be matched will waste the time. This paper will discuss a system to detect plagiarism by using indexing method as a way to eliminate irrelevant documents in order to reduce the document database that will be matched with the query document. Matching between a query document and documents in database will be done with Longest Common Subsequence (LCS) algorithm. The system will use inverted index as the form to eliminate irrelevant documents using a 2-3 tree data structure. Indexing is done by inserting the fingerprint of the document. To find the fingerprint this paper will use winnowing algorithm. The results of the system shows to execute 1 query and 10000 documents corpus, most of them are not relevant, takes 59 seconds and 134 seconds with and without respectively. The f-measure value, the average value of precision and recall, is obtained 0.7387 by indexing with 0.15 as the threshold of indexing elimination and 0.000428 without indexing.
Starting Page	403
Ending Page	408
File Size	812439
Page Count	6
File Format	PDF
e-ISBN	9781479935819
DOI	10.1109/ICoICT.2014.6914096
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-28
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fingerprint Plagiarism 2–3 tree Fingerprint recognition Plagiarism detection system Educational institutions Communications technology Corpus Indexing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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