HUBEI AGRICULTURAL SCIENCES ›› 2020, Vol. 59 ›› Issue (10): 150-153.doi: 10.14088/j.cnki.issn0439-8114.2020.10.035

• Information Engineering • Previous Articles     Next Articles

Application of decision tree association algorithms in rural college students information system

FU Rong-hua   

  1. Urumqi Vocational University,Urumqi 830002,China
  • Received:2019-10-21 Online:2020-05-25 Published:2020-08-03

Abstract: By using data mining technology to analyze the relationship between these data, The hidden students' learning and living conditions in these records were founded. A comprehensive analysis system was developed, which introduces data mining technology, including decision tree algorithm and association rule mining algorithm. By analyzing the records of college students' libraries and consumption from the countryside, as well as the data of curriculum achievements and psychological tests completed by rural students, the system can excavate the life and learning status of rural students and their correlation, and display the results, so that schools or teachers can understand their status in time and clearly, which is help fulfor better teaching.

Key words: data mining, decision tree algorithm, association rule mining algorithm, database application

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