| Autor: |
Anish Banerjee, Subhabrata Sengupta, Satyajit Chakrabarti |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9789813349674 |
| DOI: |
10.1007/978-981-33-4968-1_19 |
| Popis: |
The progress of a country strongly depends on the education system of the country. There is a drastic change in the education system across the whole world. Data mining methods and techniques play an important role in the today’s world, and it is used for decision making in education system to make decisions related to the students’ academic status. Presently, dropping of students has increased with the higher education. This situation is directly related with the fame of the institute. Various students’ information is being maintained with different values. As data insertion and retrieval processes are going on with this existing system, there are no scopes of intelligence related with the various existing system models. Data mining is used for sorting the educational problem by analyzing the students’ performance using the techniques like linear regression, logistic regression and artificial neural network. In this research, the paper mainly focused in random forest algorithm to measure the performance of the students. Educational Data Mining (EDM) is used to obtain the new style to discover various intelligent paths to predict different semantic knowledge. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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