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Book borrowing information analysis system
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Since entering the 21st century, increasing library user and distribution is broader and more diffuse. With the development of computer technology of the network and user information is timely, accurate and personalized services have higher requirements. To provide users with better service, become the requirements of the information age. This paper explores the application of data mining technology in library and information management in the field. Library automation system users in the lending data mining, mining results for library users ' information management provides valuable decision support data. First established an association mining model, including the selection of attribute sets, discretization of each attribute or property Division, and the associated mining model that is based on analysis of information system design and implementation. Based on the classical--Apriori algorithm of association rules mining algorithm of frequent itemsets and
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