Digital library archives information integration based on multidimensional data mining Online publication date: Mon, 31-Oct-2022
by Zhenxin Li
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 14, No. 4, 2022
Abstract: Aiming at the problems of high integration loss rate, low accuracy and long time in the traditional archives information integration method of digital library, a digital library archives information integration based on multidimensional data mining is proposed. Online analytical processing technology and multidimensional dataset was combined to mine multidimensional data of archives information in digital library. Based on the multidimensional data mining results of archives information in digital library, the data characteristics of archives information in digital library are extracted. According to the characteristics of information data, a digital library archives information integration model is established by using support vector mechanism to realise the archives information integration of digital library. The experimental results show that the integration loss rate of this method is only 5.1%, the integration accuracy is as high as 95.4%, and the integration time is only 16.2 s.
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