Research On Apriori Algorithm And Its Application In Library Personalized Service

Digital Library has become the library’s development direction under the rapid development of society. With the development of digital libraries, data warehouse, data mining techniques are facing with broad prospects for application. But the research on library with data warehousing and data mining technology is infancy due to historical reasons. So library has not been reflected in many of the advantages. Analysis of the association rules occupies a major position in data mining technology. Its main purpose is to focus on large-scale data found hidden, interesting and property between the law.Analyzed the shortage of the algorithm Apriori and how to improve the effectiveness of the algorithm Apriori, then we propose an improved Apriori algorithm using the insufficient and defect of the Apriori algorithm. The algorithm is based on the theory of relational algebra logic delete and insert flag bits do in which to reduce the database scan. We compare the two algorithms through experiment. Then respectively introduces the network topology and system structure of the books management system management system by Hunan university books management system management system. Analysis how to build a data warehouse of books management system management system is studied. Reader data is a response of the demand of readers. By integration and comprehensive reader data, we can comprehensive evaluation and analysis of reader behavior, then improves the corresponding service. Finally, we use the front section of the research results and the association rules to mining the library recorded information, excavation borrow a loving relationship, heterogeneous information on the book by the same time, access to relevant, between the Department of access to relevant information and so on, have been a number of books on management decision-makers valuable information to improve the competitiveness of the library.Improved Apriori algorithm is a significant increase in the efficiency, combining with the characteristics of personalized service, can effectively improve the efficiency of library management. Data mining technology in building a digital library of applications is still in its infancy. How to build a data warehouse and other methods could be further improved.