Applied Research On Data Mining In Library Services Of Hige School

With the continuous development of society, the knowledge update faster and faster. This is the work of the library service has set higher demands. At this stage, the information service has gradually become the mainstream of library services. In the information process, the personalized information is receiving increasing attention. Personalized service has changed the traditional library services to a passive way, so that libraries can work more effectively.Papers by the theory of data mining technology and personalized service system theory, research, data mining techniques will be introduced to the university library's reader services, achieved a personalized book recommendation service. In-depth school library database needs analysis, loan analysis process, theoretically discusses the need to create data mining models, and model of the structural design, on this basis, the data in the database was pre-work, and then through the thematic analysis, particle size analysis, model building and other sectors, the establishment of a library data warehouse, OLAP and data were analyzed.In the data mining stage, the paper first the data in the data mining model attribute classification. By the data mining classification properties to be used in numerical attribute is divided into readers and non-numeric attribute, books, and non-numeric attribute numeric attribute. In the concrete realization of study, the paper uses these data mining as a specific object, the application of data mining techniques to study the personalized service the library of data mining analysis of the specific implementation process. Concrete realization of the main excavation analysis of the implementation of two ways:one using cluster analysis, the effective classification of the library's readers summed up the characteristics of the different cluster groups; the other hand, in the cluster analysis based on the use of association rules mining, cluster analysis on data for further mining, digging out the reader of the library use of resources associated with the contents of books to find a strong correlation of all kinds of books, take the initiative to provide readers of books related to information to a variety of means take the initiative to readers recommend books.