A Review on Various Algorithms for Student Performance Prediction

Authors(6) :-Mayuri S. Dongre, Neha S.Vidya, Vanita D. Telrandhe, Shweta R. Chaudhari, Anup A. Umrikar, Prof. Prachiti V. Adghulkar

Data in educational institutions are growing progressively along these lines there is a need of progress this tremendous data into helpful data and information utilizing data mining. Educational data mining is the zone of science where diverse techniques are being produced for looking and investigating data and this will be valuable for better comprehension of understudies and the settings they learned. Classification of data objects in view of a predefined learning of the articles is a data mining and information administration procedure utilized as a part of collection comparable data questions together. Decision Tree is a valuable and well known classification method that inductively takes in a model from a given arrangement of data. One explanation behind its prominence comes from the accessibility of existing calculations that can be utilized to assemble decision trees. In this paper we will survey the different ordinarily utilized decision tree calculations which are utilized for classification. We will likewise contemplating how these decision tree calculations are appropriate and valuable for educational data mining and which one is ideal.

Authors and Affiliations

Mayuri S. Dongre
Department of computer Science & Engineering, Suryodaya collage of Engineering & Technology, Nagpur, Maharashtra, India
Neha S.Vidya
Department of computer Science & Engineering, Suryodaya collage of Engineering & Technology, Nagpur, Maharashtra, India
Vanita D. Telrandhe
Department of computer Science & Engineering, Suryodaya collage of Engineering & Technology, Nagpur, Maharashtra, India
Shweta R. Chaudhari
Department of computer Science & Engineering, Suryodaya collage of Engineering & Technology, Nagpur, Maharashtra, India
Anup A. Umrikar
Assistant Professor, Department of computer Science & Engineering, Suryodaya collage of Engineering & Technology, Nagpur, Maharashtra, India
Prof. Prachiti V. Adghulkar

Educational data mining (EDM), Classification, Dropout Prediction, Selection Failure

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Publication Details

Published in : Volume 5 | Issue 1 | January-February 2019
Date of Publication : 2019-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 235-239
Manuscript Number : CSEIT195167
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Mayuri S. Dongre, Neha S.Vidya, Vanita D. Telrandhe, Shweta R. Chaudhari, Anup A. Umrikar, Prof. Prachiti V. Adghulkar, "A Review on Various Algorithms for Student Performance Prediction", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.235-239, January-February-2019. |          | BibTeX | RIS | CSV

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