Digital library archives information integration based on multidimensional data mining. (25th October 2022)

• Record Type: Journal Article
• Authors: Li, Zhenxin
• Is Part Of: International journal of reasoning-based intelligent systems. Volume 14:Number 4(2022)
• Page Start: 169
• Page End: 175
• Publication Date: 2022-10-25
• Subjects: multidimensional data mining -- online analytical processing technology -- digital library -- archive information -- information integration; Artificial intelligence -- Periodicals; Reasoning -- Periodicals; 006.3
• Languages: English
• ISSNs: 1755-0556

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.