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  2. Volume 9, Issue 7
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Online ISSN: 2515-8260

Volume9, Issue7

STUDENTS E-LEARNING PERFORMANCE USING DATA MINING-A REVIEW

    Leema Raina.F, Dr.T. KamalaKannan

European Journal of Molecular & Clinical Medicine, 2022, Volume 9, Issue 7, Pages 9379-9386

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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.
Keywords:
    E-Learning Educational Data Mining Data Mining Algorithm
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(2023). STUDENTS E-LEARNING PERFORMANCE USING DATA MINING-A REVIEW. European Journal of Molecular & Clinical Medicine, 9(7), 9379-9386.
Leema Raina.F, Dr.T. KamalaKannan. "STUDENTS E-LEARNING PERFORMANCE USING DATA MINING-A REVIEW". European Journal of Molecular & Clinical Medicine, 9, 7, 2023, 9379-9386.
(2023). 'STUDENTS E-LEARNING PERFORMANCE USING DATA MINING-A REVIEW', European Journal of Molecular & Clinical Medicine, 9(7), pp. 9379-9386.
STUDENTS E-LEARNING PERFORMANCE USING DATA MINING-A REVIEW. European Journal of Molecular & Clinical Medicine, 2023; 9(7): 9379-9386.
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