Research on Data Mining in University Admissions Decision-Making

Provided by: AICIT
Topic: Big Data
Format: PDF
In this paper, the authors combine the characteristics of data mining technology and the characteristics of the university enrollment data, and use Self Organizing Map (SOM) neural network, association rule and Fayyad data mining model to establish a university admissions decision-making model. SOM is applied to the cluster analysis of china's 31 provinces, and the feature and level of each province can be obtained, which is used for making sub-province enrollment scheme and sub-province enrollment propaganda; Then, they use association rule to analyze the data of college choice, and obtain the students' interests and the relevance of specialties, which can be used for making subspecialty enrollment scheme and sub-specialty enrollment propaganda.

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