The abundance of student data and data on the number of student graduations, hidden information can be found by processing student data so that it is useful for the university. Processing of student data needs to be done to find out important information in the form of new knowledge (knowledge discovery). Method: Literature review is carried out based on issues, methodology, equations.result : Decision Trees) Decision tree analysis (or decision tree analysis is a technique that belongs to the machine-learning family) is arguably the most popular classification technique in the data mining area
Universities are working in a very dynamic and powerfully viable environment today. Due to the adven...
University servers and databases store a huge amount of data including personal details, registrati...
The academic performance is one of aspect which has remained the benchmark of the success in learnin...
The student academic performance is based on different factors such as social and technical personal...
This paper presents the study of data mining in the education industry to model the performance for ...
The purpose of this paper is to develop models that would enable predicting student success. These m...
Data Mining is a series of processes to explore added value in the form of unknown information manua...
One of the qualities of higher education is determined by the success rate of student learning. Asse...
Nowadays, student academic data in universities are very huge. However, the opportunity to manage th...
Role of Educational Data Mining Model in university course selection by the students
Abstract — The main objective of higher education institutions is to provide quality education to it...
Abstract: Data Mining for Education is an emerging discipline which seeks to develop methods to expl...
Nowadays, researchers analyse student data to predict the graduation rate by looking at the characte...
The overall success of educational institutions can be measured by the success of its students. Prov...
Major decision making process using large amount of data can be done by various techniques using dat...
Universities are working in a very dynamic and powerfully viable environment today. Due to the adven...
University servers and databases store a huge amount of data including personal details, registrati...
The academic performance is one of aspect which has remained the benchmark of the success in learnin...
The student academic performance is based on different factors such as social and technical personal...
This paper presents the study of data mining in the education industry to model the performance for ...
The purpose of this paper is to develop models that would enable predicting student success. These m...
Data Mining is a series of processes to explore added value in the form of unknown information manua...
One of the qualities of higher education is determined by the success rate of student learning. Asse...
Nowadays, student academic data in universities are very huge. However, the opportunity to manage th...
Role of Educational Data Mining Model in university course selection by the students
Abstract — The main objective of higher education institutions is to provide quality education to it...
Abstract: Data Mining for Education is an emerging discipline which seeks to develop methods to expl...
Nowadays, researchers analyse student data to predict the graduation rate by looking at the characte...
The overall success of educational institutions can be measured by the success of its students. Prov...
Major decision making process using large amount of data can be done by various techniques using dat...
Universities are working in a very dynamic and powerfully viable environment today. Due to the adven...
University servers and databases store a huge amount of data including personal details, registrati...
The academic performance is one of aspect which has remained the benchmark of the success in learnin...