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• W3112399415 abstract "Dynamic time warping (DTW) is one of the well-known algorithms for measuring similarity between two temporal sequences, and it can be used for character matching. It uses a distance of two character strings. However, since the characters are non-numeric, it must be assigned to numerical values to calculate a distance between two character strings. Therefore, in this paper, we propose a method to convert non-numeric characters into numerical values in dynamic time warping for string matching. The proposed method uses normalized correlation coefficient, and it makes DTW gives more accurate results. Experimental results show that the proposed method gives excellent results." @default.
• W3112399415 created "2020-12-21" @default.
• W3112399415 creator A5054465836 @default.
• W3112399415 date "2021-06-01" @default.
• W3112399415 modified "2023-09-26" @default.
• W3112399415 title "A method to convert non-numeric characters into numerical values in dynamic time warping for string matching" @default.
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• W3112399415 doi "https://doi.org/10.11591/ijece.v11i3.pp2660-2665" @default.
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