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- W2904683839 abstract "Students' insights are very vital in the continuous quality improvement of a university. Students are the primary consumers in higher education institution services [1].One way to measure the quality of education is through the satisfaction level of the students based on students' overall university experience. Implementation of logistic regression and CHAID Algorithm was used to create the recommendation plan.Text analytics was integrated to extract key phrases and compute sentiment score to classify the comments according to satisfaction level." @default.
- W2904683839 created "2018-12-22" @default.
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- W2904683839 date "2018-07-01" @default.
- W2904683839 modified "2023-09-26" @default.
- W2904683839 title "Data Mining of Students' Response on the University Services using Chi-square Automatic Interaction Detector (CHAID) Algorithm" @default.
- W2904683839 doi "https://doi.org/10.1109/ickii.2018.8569209" @default.
- W2904683839 hasPublicationYear "2018" @default.
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