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Predicting Academic Performance of Students Using a Hybrid Data Mining Approach

  • Bindhia K. FrancisEmail author
  • Suvanam Sasidhar Babu
Education & Training
Part of the following topical collections:
  1. Wearable Computing Techniques for Smart Health

Abstract

Data mining offers strong techniques for different sectors involving education. In the education field the research is developing rapidly increasing due to huge number of student’s information which can be used to invent valuable pattern pertaining learning behavior of students. The institutions of education can utilize educational data mining to examine the performance of students which can support the institution in recognizing the student’s performance. In data mining classification is a familiar technique that has been implemented widely to find the performance of students. In this study a new prediction algorithm for evaluating student’s performance in academia has been developed based on both classification and clustering techniques and been ested on a real time basis with student dataset of various academic disciplines of higher educational institutions in Kerala, India. The result proves that the hybrid algorithm combining clustering and classification approaches yields results that are far superior in terms of achieving accuracy in prediction of academic performance of the students.

Keywords

Student academic performance Educational data mining Prediction accuracy K-means clustering 

Notes

Compliance with ethical standards

Conflict of interest

This paper has not communicated anywhere till this moment, now only it is communicated to your esteemed journal for the publication with the knowledge of all co-authors.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Bharathiar UniversityCoimbatoreIndia
  2. 2.Department of Computer ApplicationSt Thomas College (Autonomous)ThrissurIndia
  3. 3.Department of CSESree Narayana Gurukulam College of EngineeringKolenchery, Ernamkulam DTIndia

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