Results 151 to 160 of about 900,550 (188)

Datawarehouse design for educational data mining

2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016
Business intelligence (BI) builds upon a set of tools and applications that enable the analysis of vast amounts of information (Big Data). Educational institutions handle large volumes of Big Data every year. There is a strong need for the use of BI in these institutions to improve their processes and support decision making.
Oswaldo Moscoso-Zea, Andres Sampedro, Sergio Luján-Mora   +2 more
openaire   +1 more source

Research on Data Mining in College Education

2008 International Conference on Computer Science and Software Engineering, 2008
Social demand information is very important for college education development, and also be the important guidance of college education. How to obtain all kinds of information and further find its potential link are the college information systems major issues resolved.
Lihua Song, Yongsheng Zhao, Zhonglei Zhang   +2 more
openaire   +1 more source

A reference architecture for educational data mining

2017 IEEE Frontiers in Education Conference (FIE), 2017
In this paper we present a reference architecture for ETL stages of EDM and LA that works with different data formats and different extraction sites, ensuring privacy and making easier for new participants to enter into the process without demanding more computing power. Considering scenarios with a multitude of virtual environments hosting educational
Francisco A. de Almeida Neto, Alberto Castro   +1 more
openaire   +1 more source

A Survey on the Classification Techniques In Educational Data Mining

International Journal of Computer Applications Technology and Research
: Due to increasing interest in data mining and educational system, educational data mining is the emerging topic for research community. educational data mining means to extract the hidden knowledge from large repositories of data with the use of ...
Nityasree Upadhyay
semanticscholar   +1 more source

Data Mining and Opinion Mining

Proceedings of the 2018 1st International Conference on Mathematics and Statistics, 2018
The use of the web as a universal communication platform generates large volumes of data (Big data), which in many cases, need to be processed so that they can become useful knowledge in face of the sceptics who have doubts about the credibility of such information.
Myriam Guadalupe Peñafiel, Stefanie Vásquez, Diego Vásquez, Juan Zaldumbide, Sergio Luján-Mora   +4 more
openaire   +1 more source

Temporal Data Mining for Educational Applications

2008
Intelligent tutoring systems (ITSs) acquire rich data about studentsO behavior during learning; data mining techniques can help to describe, interpret and predict student behavior, and to evaluate progress in relation to learning outcomes. This paper surveys a variety of data mining techniques for analyzing how students interact with ITSs, including ...
Carole R. Beal, Paul R. Cohen
openaire   +2 more sources

Educational data mining to predict students' academic performance: A survey study

Education and Information Technologies : Official Journal of the IFIP technical committee on Education, 2022
Saba Batool, Junaid Rashid, M. W. Nisar, Jungeun Kim, Hyuk-Yoon Kwon, Amir Hussain   +5 more
semanticscholar   +1 more source

Classification Technique and its Combination with Clustering and Association Rule Mining in Educational Data Mining - A survey

Engineering applications of artificial intelligence, 2023
Sunita M. Dol, P. Jawandhiya
semanticscholar   +1 more source

Use of Data mining Tools in Educational Data Mining

2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT), 2022
Sunita M Dol, Pradeep M Jawandhiya
openaire   +1 more source

Educational Data Mining: An Advance for Intelligent Systems in Education

IEEE Intelligent Systems, 2014
Educational data mining methods have been successful at modeling a range of phenomena relevant to student learning in online intelligent systems. Here, the author considers the current state of the field, outlining recent strides and remaining challenges.
openaire   +1 more source