Predicting Student Academic Performance at Degree Level: A Case Study
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[1] Mykola Pechenizkiy,et al. Handbook of Educational Data Mining , 2010 .
[2] Nitesh V. Chawla,et al. Engagement vs performance: using electronic portfolios to predict first semester engineering student retention , 2014, LAK.
[3] Kamelia Stefanova,et al. Analyzing University Data for Determining Student Profiles and Predicting Performance , 2011, EDM.
[4] Edith Galy,et al. The Effect of Using E-Learning Tools in Online and Campus-based Classrooms on Student Performance , 2011, J. Inf. Technol. Educ. Res..
[5] Sebastián Ventura,et al. Classification via clustering for predicting final marks starting from the student participation in Forums , 2012, EDM.
[6] I. Kazanidis,et al. E-Learning Platform Usage Analysis , 2011 .
[7] P. Golding,et al. Predicting Academic Performance , 2006, Proceedings. Frontiers in Education. 36th Annual Conference.
[8] Bing Liu,et al. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data , 2006, Data-Centric Systems and Applications.
[9] Z. Kovacic,et al. Predicting student success by mining enrolment data. , 2012 .
[10] Ji Hyea Han,et al. Data Mining : Concepts and Techniques 2 nd Edition Solution Manual , 2005 .
[11] Daniel T. Larose,et al. Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .
[12] Dursun Delen,et al. A comparative analysis of machine learning techniques for student retention management , 2010, Decis. Support Syst..
[13] Nguyen Thai Nghe,et al. A comparative analysis of techniques for predicting academic performance , 2007, 2007 37th Annual Frontiers In Education Conference - Global Engineering: Knowledge Without Borders, Opportunities Without Passports.
[14] Mykola Pechenizkiy,et al. Predicting Students Drop Out: A Case Study , 2009, EDM.
[15] Raheela Asif,et al. MINING STUDENT’S ADMISSION DATA AND PREDICTING STUDENT’S PERFORMANCE USING DECISION TREES , 2012 .
[16] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[17] D. P. Acharjya,et al. Prediction of Missing Associations Using Rough Computing and Bayesian Classification , 2012 .
[18] Zdenek Zdráhal,et al. Improving retention: predicting at-risk students by analysing clicking behaviour in a virtual learning environment , 2013, LAK '13.
[19] Shaobo Huang,et al. Predicting student academic performance in an engineering dynamics course: A comparison of four types of predictive mathematical models , 2013, Comput. Educ..
[20] Joachim M. Buhmann,et al. Predicting Graduate-level Performance from Undergraduate Achievements , 2011, EDM.
[21] Sebastián Ventura,et al. Educational Data Mining: A Review of the State of the Art , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[22] Dorina Kabakchieva,et al. Predicting Student Performance by Using Data Mining Methods for Classification , 2013 .
[23] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[24] DelenDursun. A comparative analysis of machine learning techniques for student retention management , 2010, DSS 2010.
[25] Kalina Yacef,et al. Measuring Correlation of Strong Symmetric Association Rules in Educational Data , 2010 .
[26] Paul Golding,et al. Predicting Academic Performance in the School of Computing & Information Technology (SCIT) , 2005, Proceedings Frontiers in Education 35th Annual Conference.
[27] Zachary A. Pardos,et al. The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks , 2007, User Modeling.