Library Collection Document Lending System Based on The Statistical Equation of Probability Theory

Abstract

This paper establishes a library-collected document lending system based on data mining technology. This paper uses the statistical method of probability theory of association rules between multi-dimensional attributes to mine the regularity of document usage. Through this method, corresponding decisions can be made to optimize the layout of the library's collections. This paper uses data mining methods such as cluster analysis and association analysis to establish a data mining processing model. This method records the retrieval behavior of teachers and students. In this way, the interest points of teachers and students' demand books can be summarized. Finally, according to the above scheme, a simple experimental system is implemented, and the experimental results are verified and tested. The research finds that this paper's bibliography recommended by the book recommendation system using data mining technology is consistent with the borrowed bibliography. Compared with the traditional method, the judgment accuracy of the algorithm is greatly improved.