Data mining techniques for predicting student performance

机译：用于预测学生表现的数据挖掘技术

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摘要

Predicting student performances in order to prevent or take precautions against student failures or dropouts is very significant these days. Student failure and dropout is a major problem nowadays. There can be many factors influencing student dropouts. Data mining can be used as an effective method to identify and predict these dropouts. In this paper, a classification method for prediction is been discussed. Decision tree classifiers are used here and methods for solving the class imbalance problem is also discussed.

机译：预测学生表演，以防止或采取预防措施，这些天可能会出现辍学措施非常重要。学生失败和辍学是如今的一个主要问题。可能有很多影响学生辍学的因素。数据挖掘可以用作识别和预测这些辍学的有效方法。本文讨论了一种预测的分类方法。这里使用决策树分类器，并讨论了解决类别不平衡问题的方法。

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《International Conference on Engineering Technology》|2015年||共3页
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作者
Shaleena K.P.; Paul Shaiju;
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正文语种
中图分类计算技术、计算机技术;
关键词
class imbalance; classification; cost sensitive classification; decision trees; educational datamining; prediction;

机译：类失衡;分类;成本敏感分类;决策树;教育数据联系;预测;

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1. Modelling and predicting student's academic performance using classification data mining techniques [J] . Raza Hasan, Sellappan Palaniappan, Salman Mahmood, International journal of business information systems . 2020,第3期

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2. Predicting Student Academic Performance Using Data Mining Techniques [J] . Lonia Masangu, Ashwini Jadhav, Ritesh Ajoodha Advances in Science, Technology and Engineering Systems . 2020,第1期

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3. Factors Affecting Students' Performance in Higher Education: A Systematic Review of Predictive Data Mining Techniques [J] . Amjed Abu Saa, Mostafa Al?Emran, Khaled Shaalan Technology,knowledge and learning: Learning mathematics,science and the art in the context of figital technologies . 2019,第4期

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4. Predict Student's Academic Performance and Evaluate the Impact of Different Attributes on the Performance Using Data Mining Techniques [C] . Md. Hasibur Rahman, Md. Rabiul Islam 2017 2nd International Conference on Electrical amp; Electronic Engineering . 2017

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5. Comparison of data mining techniques used to predict student retention [D] . Pittman, Kathleen 2008

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6. Mining Educational Data to Predict Students’ Performance through Procrastination Behavior [O] . Danial Hooshyar, Margus Pedaste, Yeongwook Yang 2020

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7. Using Data Mining Techniques to Predict Student Performance to Support Decision Making in University Admission Systems [O] . Hanan Abdullah Mengash 2020

机译：使用数据挖掘技术来预测学生绩效，以支持大学入学系统中的决策

Data mining techniques for predicting student performance

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