Abstract
Contemporary researches in stress performance analysis have given a lot of emphasis on the issues of college-going students. These studies discovered social, emotional, and financial conditions at large affect the academic performance of students. Similarly, the academic stress and sports performance have been associated with various factors belonging to personality attributes, cognitive competencies, concentration level, socioeconomic background, locality, etc. However, these were hidden and no attempts were made to discover them. In the underlined research work, these aspects were discovered using data mining techniques. We have devised out our own dataset for the work, and experimentations were carried out in SPSS platform.
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Sarode, R., Muley, A., Bhalchandra, P., Singh, S.K., Joshi, M. (2019). Discovery of Variables Affecting Performance of Athlete Students Using Data Mining. In: Behera, H., Nayak, J., Naik, B., Abraham, A. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-10-8055-5_40
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DOI: https://doi.org/10.1007/978-981-10-8055-5_40
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