STUDENTS E-LEARNING PERFORMANCE USING DATA MINING-A REVIEW

Leema Raina, F. and KamalaKannan, T. (2022) STUDENTS E-LEARNING PERFORMANCE USING DATA MINING-A REVIEW. European Journal of Molecular & Clinical Medicine, 9 (7). ISSN 2515-8260

[thumbnail of STUDENTS E-LEARNING PERFORMANCE USING DATA.pdf] Text
STUDENTS E-LEARNING PERFORMANCE USING DATA.pdf

Download (251kB)

Abstract

Education Data Mining is a process of changing raw data into system education useful to information. It is used for educational software developing field, teachers, parents, students and other research in education. The Interest is increasing nowadays in educational field and data mining, data mining in education makes research growing community. This application mining provides a data to the systems in traditional, well-known learning content management systems, and particular courses in a web-based adaptive and intelligent systems.
Each systems have data to source differently and also knowledge in discovering object. After the pre-processing, data mining techniques are applied in visualization and Each systems have the data source differently and knowledge for objective discovering. After the pre-processing of data in each case, the data mining techniques are applied in statistical and visualization, clustering, classification and detection of outline, association rule mining and pattern mining and text mining. Many works and researchers need a specialized work in educational data mining becoming in a nature area. Weka tool and Rapid Miner used to predict the most accurate analysis.

Item Type: Article
Subjects: Computer Science Engineering > Data Mining
Domains: Computer Applications
Depositing User: Mr Prabakaran Natarajan
Date Deposited: 22 Dec 2025 07:56
Last Modified: 22 Dec 2025 07:56
URI: https://ir.vistas.ac.in/id/eprint/11803

Actions (login required)

View Item
View Item