Title: Research on fast de-duplication of text backup information in library database based on big data

Authors: Ling Ji

Addresses: Information Technology College, Nantong Normal College, Nantong 226010, China

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.

Keywords: big data; library; database; text backup information; de-duplication; Simhash algorithm.

DOI: 10.1504/IJICT.2021.116556

International Journal of Information and Communication Technology, 2021 Vol.19 No.1, pp.76 - 92

Received: 22 Jan 2020
Accepted: 09 Mar 2020
Published online: 28 Jul 2021 *

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