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Data Mining-Based Student’s Performance Evaluator

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Intelligent Communication, Control and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 989))

Abstract

This paper is based on the study of different data mining techniques that are used to analyze and predict students’ academic performance. The data mining application in education is the most promising tool for educational participation. The educational institution can apply this concept for students’ performance analysis. In this study, the authors have collected students’ academic data and three data mining algorithms related to classification, i.e., Naive Bayes, Decision Tree, and Convolutional Neural Network were used on the dataset. The prediction performance of three classifiers is compared and measured. This study will help educational institutes improve student academic performance.

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Acknowledgements

The authors would like to acknowledge the Department of Computer Science and Engineering, DTC, Greater Noida, India for providing student’s academic data and for the necessary permissions to use this in our research studies.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, DTC, Greater Noida, India

    Ravindra Kumar, Megha Kumar & Upasna Joshi

Authors
  1. Ravindra Kumar
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  2. Megha Kumar
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  3. Upasna Joshi
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Corresponding author

Correspondence to Megha Kumar .

Editor information

Editors and Affiliations

  1. Department of Electronics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Sushabhan Choudhury

  2. Department of Electronics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Ranjan Mishra

  3. Department of Electronics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Raj Gaurav Mishra

  4. Department of Electronics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Adesh Kumar

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Kumar, R., Kumar, M., Joshi, U. (2020). Data Mining-Based Student’s Performance Evaluator. In: Choudhury, S., Mishra, R., Mishra, R., Kumar, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 989. Springer, Singapore. https://doi.org/10.1007/978-981-13-8618-3_73

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