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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
Published on: February 23, 2019
Intelligent bar chart plagiarism detection in documents
Mohammed Mumtaz Al-Dabbagh1, Naomie Salim2, Amjad Rehman3
1Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia ; Faculty of Computer Sciences and Mathematics, University of Mosul, Mosul, Iraq.
Abstract:
This paper presents a novel features mining approach from documents that could not be mined via optical character recognition (OCR). By identifying the intimate relationship between the text and graphical components, the proposed technique pulls out the Start, End, and Exact values for each bar. Furthermore, the word 2-gram and Euclidean distance methods are used to accurately detect and determine plagiarism in bar charts.
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