ENHANCED PREDICTION OF STUDENT DROPOUTS USING FUZZY INFERENCE SYSTEM AND LOGISTIC REGRESSION

Article English OPEN
A. Saranya; J. Rajeswari;
(2016)
  • Publisher: ICT Academy of Tamil Nadu
  • Journal: ICTACT Journal on Soft Computing (issn: 0976-6561, eissn: 2229-6956)
  • Publisher copyright policies & self-archiving
  • Subject: Computer engineering. Computer hardware | Data Mining | Decision Trees | Fuzzy Inference System | Student Dropout | Logistic Regression | TK7885-7895
    acm: ComputingMilieux_COMPUTERSANDEDUCATION

Predicting college and school dropouts is a major problem in educational system and has complicated challenge due to data imbalance and multi dimensionality, which can affect the low performance of students. In this paper, we have collected different database from vario... View more
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