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Journal of Kunming Metallurgy College ›› 2020, Vol. 36 ›› Issue (3): 57-61.DOI: 10.3969/j.issn.1009-0479.2020.03.010

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Data Mining and Application of Campus card Based on Logistic Rregression Algorithm

CHEN Yunchuan, SONG Hao, ZHAO Ye, LIU Fawen   

  1. Faculty of Compute Information,Kunming Metallurgy College,Kunming 650033,China
  • Received:2020-04-02 Online:2020-09-19 Published:2020-09-20

Abstract: Data mining,analysis and prediction is an important branch of information technology development in recent years. This article alltempts to apply data mining technology to the analysis of dala of campus card, hoping to find students with excellent acaudemic performance but poor family backgrouund to provide a little help for the school financial aid.This article first introduces the general process of data nining,and then focuses on the algorithms used in the experimental simulation of this article: logistic regression algorithm.Finally , the Rapidminer platform was used for simulation. The experiment uses logistic regression algorithm for modeling, and introduces Bayesian algorithm for comparalive experiments. The model is applied to the test data set and successfully predicts the label altribute value ( whether the student is a poor student ).

Key words: campus card, data mining, logistic regression

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