Data mining models for student careers
作者：
Highlights：
• We presents a data mining methodology to analyze the careers of University graduated students.
• We present different approaches based on clustering and sequential patterns techniques.
• We introduce the concept of ideal career.
• We compare the career of a generic student with the ideal one.
• We apply the methodology to a real case study and interpret the results.
摘要
•We presents a data mining methodology to analyze the careers of University graduated students.•We present different approaches based on clustering and sequential patterns techniques.•We introduce the concept of ideal career.•We compare the career of a generic student with the ideal one.•We apply the methodology to a real case study and interpret the results.
论文关键词：Data mining,Educational data mining,Student careers,Clustering,Frequent pattern analysis
论文评审过程：Available online 6 March 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.02.052
