Research On The Visualization Method Of User Borrowing Behavior

Tianjin United University Library was founded 13 years ago,in the library information on the road has been in the forefront,but over time,the information system of data becomes increasingly large and complex,how to make use of these data has become an urgent demand now in the work of Library management.Based on this requirement,the author designed two models of visual analysis,focusing on the two kinds of data,which are collected by the library and the readers.In view of the current university library paper purchasing decision process,decision of subjective and objective basis,the author puts forward the library visual analysis system model,to realize the historical information collection,mining,visual analysis.Constructing the model of the library's visual analysis system and building a big data platform to verify the availability of the model.The experimental results show that the system can make a good visual analysis of the massive book history data,so as to achieve the goal of making the book purchase decision.The current visual analysis results view can also be further enriched.The system can make a visual analysis of the library's historical data,and provide scientific data support for decision makers.In order to further study the readers' reading habits,a visual analysis model based on sequential pattern mining is put forward.In the process of using sequential pattern mining sequence patterns found in the reader's relatively large,this paper proposes to use model cutting methods to reduce the sequential patterns in the database size,after visualization results more easily understood.Experiments show that the model can be used to explore the readers' borrowing patterns,and the result of the visualization has a certain practical value.