Assistant Decision System Of Library Lecture Work Based On Data Mining

Along with our country public library further popularization and improving the application level of informationization,information requirements of the library departments at all levels and various jobs present a status of increasing and diversified.In the context of the Internet+ today,information demand overall development trend is also to the integrated service management and optimization,and support the library core strategic goals,information provided and access is becoming more and more convenient,information is no longer closed,and resources are no longer exclusive,for the purpose of passing on culture and disseminating knowledge of library career has played a great role in promoting,public library lecture is in such a social background appears at the historic moment.Now the books management system has been spread in the library,books borrowing,returning,retrieving can come true through the books management system,but still there is no a set of lectures related information for management system,office automation level remains to be improved,so it is imperative to develop a set of office system that functional and strong practicability around lectures work.This thesis depends on the library of Harbin under the Harbin Forum,designs using JSP and using MVC designed pattern,using open source framework SSH,using eclipse platform to complete the preparation of the code,testing and operation,background database is designed to using Oracle 10 g,seamless connection through JDBC drivers and databases,web as a front-end display finally.In order to make full use of user data in the system,in this thesis,the data mining technology is embedded into the system,using apriori algorithm in association rules to analyze the potential link between user identity and lecture content,using K-means algorithm in clustering analysis mining key attributes in user identity,better personalized service is provided for readers,it can provide the assistant decision for the manager to grasp the direction of the lecture finally.This thesis focuses on the actual development of the public library lecture,design and implement the assistant decision system of library lecture service based on data mining.In this thesis,the assistant decision system of library lecture service is suitable for the daily management of lectures,including lecture information release,image data storage,statistical analysis of lecture data,and in order to carry out the decision after the lecture,the social readers is served better.