Research on fast de-duplication of text backup information in library database based on big data Online publication date: Wed, 28-Jul-2021
by Ling Ji
International Journal of Information and Communication Technology (IJICT), Vol. 19, No. 1, 2021
Abstract: In order to overcome the problems of poor effect and low efficiency of traditional information de-duplication methods, this paper proposes a fast de-duplication method of text backup information in library database based on big data. Firstly, this paper carries out parallel mining of text information features in library database, uses the features with strong classification ability to determine the parameter value of the repeated feature function, obtains the entries with the parameter value higher than the threshold value, determines the number of text repeated backup information and the group weight, sets the difference between the two as the remaining digits, and stops de-duplication when the remaining digits are lower than the threshold value. The experimental results show that the average accuracy of this method is 96.95%, the weight removal efficiency is always above 98%, and the weight removal effect is good.
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