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This paper takes campus card consumption data as the research object to min e the friend relationship of students. Firstly, the bipartite network of the card consumption data is mapped to a single-point network, and the Poisson distribution is used to obtain the statistically co-occurring friend relationship network, and then the friend relationshi...
Contexts in source publication
Context 1
... that it can be accurately inferred that 89.3% of the students are not friends and it is true. Figures 1 and 2 are the friends' network of students in the college in 2018 and 2019, respectively. C omparing Figure 1 and Figure 2, it can be found that in 2018, the branch's student friends have a closer relationship and there are more "social activists". ...
Context 2
... 1 and 2 are the friends' network of students in the college in 2018 and 2019, respectively. C omparing Figure 1 and Figure 2, it can be found that in 2018, the branch's student friends have a closer relationship and there are more "social activists". In 2019, friend relationships are more inclined to bil ateral relations, and the number of "social activists" has decreased. ...
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Citations
Positive association rule (PAR) mining has been often used in campus data analysis, while negative association rule (NAR) mining has not, which will result in a lot of valuable information missing. This paper collects real campus data that contains the student’s academic performance, e-card consumption behavior, book lending records and mental health status and analyzes them with NAR and PAR techniques. We first preprocess the data to obtain a suitable format. Then we use a method called Positive and Negative Association Rules on Correlation (PNARC) to mine NARs and PARs from these data. Finally, we obtain a lot of valuable information, for example, there is a strong negative correlation between depression and academic performance. These results are very helpful for educators to improve college students’ performance.KeywordsAcademic performanceCampus dataNegative association rulesPNARC model
Campus card system is the core business and platform of University Information System. After more than ten years of development, it covers all aspects of campus life: learning, teaching and research. This paper explains the current situation of campus card system from the perspective of card, account and billing, descripts system design and account model. Based on current system, this paper analyses the development of virtual campus card and describes a Data docking method in Information System.
