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Analyzing Student Performance Using Data Mining

  • Pankhurhi MallikEmail author
  • Chandrima Roy
  • Ekansh Maheshwari
  • Manjusha Pandey
  • Siddharth Rautray
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 904)

Abstract

Analysis of student performance will help us understand the various factors that affect the overall of a student. Big Data Environment helps in analyzing the various concepts which are inbuilt for better strategies and the choices that are taken for an organization’s overall development. Reduction in cost, time, the development of optimized and novice products, efficient and smart decision-making are some of the fields where it proves to be useful. Considering, the Higher Education System, which is inculpated in predicting the performance of students, this work will help various institutions in not only enhancing the quality of education, but also upgrading the overall accomplishments, identifying the pupil’s at risk, and thereby refining the education resource management. This introspection will aid in identifying the patterns, where a comparative study between two distinct methods has been made in order to predict the student’s success and a database has been generated.

Keywords

Data mining Student performance analysis Clustering K means Mean shift 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Pankhurhi Mallik
    • 1
    Email author
  • Chandrima Roy
    • 1
  • Ekansh Maheshwari
    • 1
  • Manjusha Pandey
    • 1
  • Siddharth Rautray
    • 1
  1. 1.School of Computer EngineeringKalinga Institute of Industrial Technology (KIIT) Deemed to Be UniversityBhubaneswarIndia

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