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Soft Computing

Erschienen in:

16.08.2021 | Focus

Construction of online social network data mining model based on blockchain

verfasst von: Xiaoqiang Jia

Erschienen in: Soft Computing | Ausgabe 8/2023

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Abstract

In order to overcome the problems of low security and accuracy of traditional online social network data mining model, this paper proposes and constructs a new online social network data mining model based on blockchain. Based on the blockchain structure, the hash function in the blockchain is used to encrypt the online social network data to improve the security of the data. Based on the encrypted data, the fuzzy covariance matrix is used to obtain the data clustering center to complete the data clustering. According to the data clustering results, time series analysis method is used to mine online social network data. Experimental results show that, compared with the traditional mining model, this model can effectively improve the security of online social network data and improve the mining accuracy, with the highest mining accuracy of 97%.

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Titel: Construction of online social network data mining model based on blockchain
verfasst von: Xiaoqiang Jia
Publikationsdatum: 16.08.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 8/2023
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-021-06131-3

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