Student Dropout Analysis with Application of Data Mining Methods

@inproceedings{Jadri2010StudentDA,
  title={Student Dropout Analysis with Application of Data Mining Methods},
  author={Mario Jadri and Željko Gara and Maja and uku{\vs}i},
  year={2010}
}
  • Mario Jadri, Željko Gara, +1 author ukuši
  • Published 2010
One of the indicators of potential problems in the higher education system may be a large number of student dropouts in the junior years. An analysis of the existing transaction data provides the information on students that will allow the definition of the key processes that have to be adapted in order to enhance the efficiency of studying. To understand better the problem of dropouts, the data are processed by the application of data mining methods: logistic regression, decision trees and… CONTINUE READING

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