Analysis of Students’ Grades in Mathematics, English, and Programming Courses: A KDD Approach
暂无分享,去创建一个
[1] John Konvalina,et al. Math proficiency: a key to success for computer science students , 1983, CACM.
[2] R. Suganya,et al. Data Mining Concepts and Techniques , 2010 .
[3] Elena Gaudioso,et al. Mining Student Data To Characterize Similar Behavior Groups In Unstructured Collaboration Spaces , 2004 .
[4] Ramakrishnan Srikant,et al. Fast algorithms for mining association rules , 1998, VLDB 1998.
[5] Buket Dogan,et al. Association Rule Mining from an Intelligent Tutor , 2008 .
[6] Nelishia Pillay,et al. An investigation into student characteristics affecting novice programming performance , 2005, SGCS.
[7] Senol Zafer Erdogan,et al. A DATA MINING APPLICATION IN A STUDENT DATABASE , 2005 .
[8] William F. Punch,et al. PREDICTING STUDENT PERFORMANCE: AN APPLICATION OF DATA MINING METHODS WITH THE EDUCATIONAL WEB-BASED SYSTEM LON-CAPA , 2003 .
[9] Beverly Park Woolf,et al. Identifying High-Level Student Behavior Using Sequence-based Motif Discovery , 2010, EDM.
[10] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[11] Gregory Piatetsky-Shapiro,et al. The KDD process for extracting useful knowledge from volumes of data , 1996, CACM.
[12] George P. McCabe,et al. Predicting the success of freshmen in a computer science major , 1984, CACM.