Data Analysis System For University Staff Business Visiting Based On Improved AHP Algorithm

In the information age,college and university staff need to fill in the application through the management system for going abroad for business visits.Although this automatic process of business management improves the efficiency of business visits,it fails to analyze and mine this part of visit data,thus losing the value of data.In addition,there is also a lack of evaluation system for teaching staff’s business visits at this stage,so,there is no way to improve the quality level of teaching staff’s business visits without a unified quantitative standard.Therefore,based on these two pain points,this thesis developed a data analysis system for university staff visits on business.The evaluation algorithm is designed to quantitatively study the activities of faculty and staff visiting on official business,which directly shows the level of faculty and staff visiting on official business.At the same time,targeted and personalized visit recommendations are designed to meet the needs of users and improve the quality of university staff visits on official business.This system is based on Django as the underlying framework for the development of university staff visit data analysis system,which takes MTV design mode as the design framework.The database adopts both relational database My SQL and non-relational database Mongo DB.This system has designed three functional modules: the evaluation of visiting activities,the analysis of foreign affairs data and the service of visiting information.The evaluation module of overseas visits mainly constructs the evaluation model of university faculty members’ overseas visits based on the improved AHP(Analytic Hierarchy Process,abbreviated as AHP)algorithm,which provides the faculty members with the function of querying the quantitative score of overseas visits.At the same time,a personalized recommendation algorithm based on knowledge graph is designed,which can recommend scholars whose overseas visits are similar to those scored by faculty and staff and effectively improve the quality of official visits by faculty and staff.In addition,this module also designs the functions of scholar evaluation and unit evaluation based on multiple decision fusion algorithm,so that faculty and staff can inquire relevant indexes and scores of scholars and units.Foreign affairs data analysis module is to conduct statistical analysis on the data of faculty members’ visits on official business at the levels of school,college and individual.This system can analyze the visual results of the number of visits,units visited,categories visited and time visited respectively,which is helpful for faculty members to fully grasp the information of each visit activity.Visiting information service module is designed to remind staff of the expiry of passport,visa and visiting activities,which is convenient for staff to prepare for the visit.The data analysis system of teaching staff visiting on business has been integrated into the management system of the school,which assists the school to efficiently manage the activities of teaching staff visiting on business,improve the quality of teaching staff visiting on business,and then improve the school’s educational level.