Extraction Student Dropout Patterns with Data Mining Techniques in Undergraduate Programs.
Ricardo Timarán PereiraAndrés Calderón RomeroJavier Jiménez ToledoPublished in: KDIR/KMIS (2013)
Keyphrases
- data mining techniques
- undergraduate engineering
- data mining
- undergraduate students
- pattern mining
- engineering students
- association rules
- knowledge discovery
- information extraction
- association rule mining
- data mining applications
- computer science students
- data mining algorithms
- historical data
- data mining methods
- interesting patterns
- data mining approaches
- learning styles
- computer science
- web mining
- data mining systems
- data warehouse
- programming course
- engineering courses
- intelligent tutoring systems
- student learning
- novice programmers
- computer science curriculum
- pattern discovery
- chemical engineering
- data mining process
- high school students
- learning environment