A Research of Readers' Borrowing Library Books Management and Optimization Based On Big Data Technology
Lizi Yin, Kaiwen Yu · 2019
In the era of Internet, massive data are coming. The big data mining and analysis is vital to guide people in their work. In this paper, we introduce properties of data of the library borrowing big data and distribution of library books. By data mining of the library borrowing big data, we bring forward some opinions in three aspects. Firstly, according to the number of books borrowed from different stacks, we come up with some ideas to optimize the library floor set and make reasonable use of resources. Secondly, Based on the analysis of borrowing time, we make some suggestions to optimize the management of borrowing books. Finally, according to the types of books of the most borrowed, we put forward some suggestions to optimized collection books of library.