000			01680nam a22002417a 4500
003			ft6458
005			20251126140452.0
008			251126b ||||| |||| 00| 0 eng d
041			_aengtag
050			_aQA76.9 C66 2018
082			_a.
100	1		_a Ellaine Joy C. Conwi, and Dannielle Paula P. Menorca.
245			_aA further enhancement of rabin-karp algorithm applied in plagiarism detection
264		1	_a. _b. _cc2018
300			_bUndergraduate Thesis: (BSCS major in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2018.
336			_2text _atext _btext
337			_2unmediated _aunmediated _bunmediated
338			_2volume _avolume _bvolume
505			_aABSTRACT: At the present time, plagiarism is the most common form of crime that happens in every academic industry which works by copying something from other sources then claiming it as an own work. Because of this crucial task and day by day increasing research in different fields, industry, plagiarism detectors have been developed to help academy people detect whether those submitted articles, journals, books and more genuine or not. In our study, a further enhanced Rabin-Karp algorithm was used for detecting plagiarism which compares strings. The study is focused to find ways to improve the plagiarism detection by further enhancing the algorithm. The detection of complex synonymous words, contracted words and acronyms as well as the verbs that are changed into their tenses. The comparison of text and pattern can have a significant impact on the sufficiency and accuracy of the result in detecting plagiarism.
526			_aF
655			_aacademic writing
942			_2lcc _cARCHIVES
999			_c37207 _d37207