The Application Of Data Mining In Agricultural Digital Library

The University Library is a knowledge database for the university teachers and students, the library involves a wide range of areas of collection books. Library purchases many new books every year, so that the collection books have increased continually year by year. As a result, it is a very difficult thing that the teachers and students find the required books in the sea of books. Therefore, optimizing the layout of books quickly and effectively becomes more and more important for teacher and students.Library management system has a lot of information which just simply be stored up and did not conduct in-depth analysis of application and research. Facing such a complex and large number of digital information, how to take the initiative to conduct data analysis, make use of the information to find rules, and provide the intrinsic link of information, which become the urgent problem. The effective use of data mining technology can provide better personalized service for the teachers and students, and improve satisfaction of reader, guide the reasonable distribution of collections in the library resources and mining the hidden correlation between the various disciplines.In this paper, based on the existing information in the Hunan Agricultural University Library, data mining technology is applied to agricultural digital library, in-depth exploration of data mining technology in library management application and implementation process. Cluster analysis algorithm is applied to help librarians understand the type of readers love and the different types of books, and get consequently the library classification of higher frequency. Association rules algorithm is applied to find the association between borrowing and flow log of books, and thus guide borrow behavior of the readers and provide. The relevant rules and conclusions which are obtained with experimental analysis provide a strong basis for data basis and decision management support for the procurement and introduction of digital library resources, and the recommended service.