Research On Key Technologies Of Credit Evaluation System For College Students

The credit evaluation and credit level of college students is an important part of the construction of social credit system,as well as an important part of the education and evaluation of credit.Due to the characteristics of students in colleges or universities,such as no stable income,higher levels of education and diverse sources of credit data,there is a big difference between them and the credit evaluation system of loan individuals.So,this paper studies the credit data fusion,credit evaluation indicator and evaluation model of college students,and develops the corresponding system.The main work is as follows: 1.In the credit data from university students work systems,office,library,the bursar's office,and other systems,there is lack of diversity of data structure,repetition,conflict,and so on,the improved algorithm of D-S evidence theory and related knowledge fusion technology in knowledge graph,solve the problem of data conflict with time attribute,and implements the university student of multi-source data fusion of credit.2.According to the characteristics of university students' credit data,using the students basic identity information,the library borrowing record,rewards and punishments,tuition payment records,such as credit card consumption records,social data,at the same time,considering the dynamic variability of credit conditions,and the semester year periodic,constructed in the credit evaluation indicator of university students,and establish the corresponding credit scoring model.3.According to the demand of colleges and universities for student credit evaluation,the credit evaluation system of college students is realized.The system consists of three subsystems: credit data collection and fusion,credit score and credit inquiry.The credit data collection and fusion system adopts Python and Scrapy technology,which has the functions of student credit data collection,fusion and storage.The credit scoring system is implemented by Python and Shell script technology,which uses the credit data after fusion for credit scoring.The credit query system is implemented by Java and Ant-Design components,and provides functions such as credit score query,reward and punishment data import.The whole system provides students credit evaluation and credit management services for colleges and universities.After functional and performance tests,the system provides 13 functional modules,which can timely and accurately collect students' credit data and regularly update their credit scores.The system response time of millions of data is less than 3s.