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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
Published on: February 23, 2019
Saad M Darwish1, Ibrahim Abdullah Mhaimeed2, Adel A Elzoghabi1
1Department of Information Technology, Institute of Graduate Studies and Research, Alexandria University, 163 Horreya Avenue, El Shatby, P.O. Box 832, Alexandria 21526, Egypt.
This study introduces a novel framework combining semantic extraction and quantum genetic algorithms (QGA) for advanced idea plagiarism detection. The new method significantly improves detection accuracy and efficiency over existing plagiarism detection systems.
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