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Crowdsourching and artificial intelligence approach in plagiarism detection

Michael - Personal Name; Hartono, Reggio N, - Personal Name; Widiputra, Harya Damar - Personal Name;

Internet has made plagiarism more easier for students and many others, however internet also help in detecting plagiarism. Applications based on machine learning have also been made, but there are still some problems that AI cannot solve. Crowdsourcing had been widely used around the world for many purpose(e.g. Research and Development, Logo and Design, Information Aggregation, etc), yet it's application for plagiarism detection was very little. The primary purpose of this research paper is to determine the effectiveness and flaw of both crowdsourcing and AI approach in detecting plagiarism. From the result it can be seen that the prototype system of crowdsourcing system has been used to prove crowdsourcing can be used to help detect plagiarism and using AI was not always the best way to detect plagiarism. Advancement in this research, the author suggest that a complete system should be made instead of using prototype system and designing of a hybrid system(computer aided crowdsourcing).


Availability
B01177 (wh)Available
Detail Information
Series Title
-
Call Number
1177
Publisher
: Swiss German University., 2012
Collation
-
Language
English
ISBN/ISSN
-
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
IT
Specific Detail Info
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Statement of Responsibility
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