Student Dropout Prediction & Educational Data Mining
Educational data like students performance is very important to study and analyze and to improve the quality of education. The study concerned to data mining techniques with educational data is known as Educational Data Mining (EDM). This study finds knowledge and interesting patterns in educational...
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| Published in | International journal of engineering and advanced technology Vol. 9; no. 2; pp. 5190 - 5192 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
30.12.2019
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| Online Access | Get full text |
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| Summary: | Educational data like students performance is very important to study and analyze and to improve the quality of education. The study concerned to data mining techniques with educational data is known as Educational Data Mining (EDM). This study finds knowledge and interesting patterns in educational organization. Students performance are the subject mainly concerned to find the qualitative model based on student’s personal and social factors then classify and predict the student performance. Proper counseling to underperforming students can reduce dropout ratio and help them to continue their studies. |
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| ISSN: | 2249-8958 2249-8958 |
| DOI: | 10.35940/ijeat.B4246.129219 |