Academic Libraries Data Analysis Using Data Mining

Abstract

Nowadays, the requirement to preserve user privacy has avoided the preservation of data that could be used to correlate library data to non library data. This paper used data mining and data detection to identify academic library use patterns and to judge whether students' the number of published papers correlated to academic library use. All academic libraries datasets of this paper were uploaded into a data warehouse, allowing them to be managed, supervised and analyzed. The detection showed patterns of library use by academic department, patterns of book use from 2000 to 2015 15 years and statistics between the number of published papers and academic library use. The technique is demonstrated using data collected at Hohai University in China..