Data Mining Technology In The University Library Management

With the development of information technology, knowledge economy era, the university libraries are more and more important. Readers gradually increased the demand for knowledge, along with the requirements of the library is gradually increased, prompting the reader to understand the needs of library and master library resources utilization, therefore, the original article in the university library system, based on the According to the system of data, analysis using data mining technology needs of readers and the utilization of library resources. This article describes the process of data mining technology development, applications and data mining problems; designed the database model, this thesis describes the background and significance; review the data mining research status and the main research; introduces data Mining concept, implementation steps, and mining; analysis of university library development necessity and feasibility of mining system and functional characteristics; designed the system architecture and data warehouse; to achieve a data processing module, data mining modules, and application of data mining results module.In this implementation, the mining from two aspects: on the one hand the historical loan records of the reader and the use of association rules of data mining to identify different levels of readers to use library resources association rules, mining a strong correlation all kinds of books for readers in various ways to provide active services recommended books. The other hand, readers of the library for effective classification, cluster analysis of this process to help dig out the characteristics of different groups, depending on the needs of targeted readers recommended books.