Educational Data Mining and Analysis of Students’ Academic Performance Using WEKA
نویسندگان
چکیده
منابع مشابه
Data Mining in Educational System using WEKA
Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential used in various commercial applications including retail sales, e-commerce, remote sensing, bioinformatics etc. Education is an essential element for the progress of country. Mining in educational environment is called Educational Data Mining. Educational data min...
متن کاملMining Educational Data to Predict Students' Academic Performance
Data Mining Technique can be used in different fields to extract knowledge from large data. Data Mining is very useful in educational field to find important pattern from the data. The educational institutes are always insists on giving quality education. By using prediction method a model can be developed which can be used to predict students‘ performance. Prediction can be done by using stude...
متن کاملMining Educational Data to Analyze Students' Performance
The main objective of higher education institutions is to provide quality education to its students. One way to achieve highest level of quality in higher education system is by discovering knowledge for prediction regarding enrolment of students in a particular course, alienation of traditional classroom teaching model, detection of unfair means used in online examination, detection of abnorma...
متن کاملEducational Data Mining & Students’ Performance Prediction
It is important to study and analyse educational data especially students’ performance. Educational Data Mining (EDM) is the field of study concerned with mining educational data to find out interesting patterns and knowledge in educational organizations. This study is equally concerned with this subject, specifically, the students’ performance. This study explores multiple factors theoreticall...
متن کاملCensus Data Mining and Data Analysis using WEKA
Data mining (also known as knowledge discovery from databases) is the process of extraction of hidden, previously unknown and potentially useful information from databases. The outcome of the extracted data can be analyzed for the future planning and development perspectives. In this paper, we have made an attempt to demonstrate how one can extract the local (district) level census, socio-econo...
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ژورنال
عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science
سال: 2018
ISSN: 2502-4760,2502-4752
DOI: 10.11591/ijeecs.v9.i2.pp447-459