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A document similarity measurement technique based on Smith-Waterman algorithm

Authors
Lee, K.-Y.Kang, J.-J.Kim, K.-H.Im, Y.-S.Jang, K.-S.Choi, G.-S.Choi, S.-J.
Issue Date
2015
Publisher
International Information Institute Ltd.
Keywords
Documents similarity; Levenshtein; Smith-waterman algorithm
Citation
Information (Japan), v.18, no.4, pp.1343 - 1348
Journal Title
Information (Japan)
Volume
18
Number
4
Start Page
1343
End Page
1348
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/11034
ISSN
1343-4500
Abstract
Measurement of document similarity of text-based is utilized data cleaning and detection of plagiarism, collaborative filtering in various fields. Also, for this research has been actively. In particular, research needs to be to handle large document such as big data to reduce the increasing complexity of time is growing. Accuracy of the candidate data with similarities are also important. Therefore, in this paper, we propose a method that can increase accuracy and simplify the process of calculation of measurement algorithms similarity existing. © 2015 International Information Institute.
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College of IT Convergence (Major of Electronic Engineering)
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