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Learning Variant Multi perspective Machine Learning clustering algorithm for predicting student interest in sports

  • Unique Paper ID: 172532
  • Volume: 11
  • Issue: 9
  • PageNo: 67-72
  • Abstract:
  • Learning the interest of students in sports turns out to be more significant assignment towards the improvement of sports around worldwide principles. Quantities of methods have been prescribed before to foresee the students’ advantage on sports. The interest on sports has been anticipated by time spent and recurrence of playing in prior draws near, yet endures to deliver higher outcomes on forecast and the sports distribution analysis model identifies the list of sports interests of various students by analyzing the traces of student activities in academic and social environments. To work on these presentations, an effective Learning Style based Sports prediction model (LSPM) is suggested in this article. Learning type Sports prediction model identifies the list of sports interests of various students by analyzing the traces of student activities learning style in academic and social environments. The logs of sports activities are split into number of time window and for each of them, the method estimates the frequency of sports activity on each interest based on learning types. According to these measures the method performs learning type analysis and measure sports factors. Based on these values, the method performs interest prediction. The LSPM (Learning Type Sports Prediction) achieve higher interest prediction performance with less false ratio and it provides more accuracy.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 9
  • PageNo: 67-72

Learning Variant Multi perspective Machine Learning clustering algorithm for predicting student interest in sports

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