Targeting the right students using data mining.
Yiming MaBing LiuChing Kian WongPhilip S. YuShuik Ming LeePublished in: KDD (2000)
Keyphrases
- data mining
- student learning
- learning experience
- learning environment
- college students
- computer science students
- learning styles
- learning activities
- distance education
- higher education
- learning outcomes
- high school students
- association rules
- learning process
- knowledge discovery
- data mining techniques
- intelligent tutoring systems
- data mining algorithms
- distance learning
- cluster analysis
- data mining applications
- e learning
- researchers and practitioners interested
- business intelligence
- rough sets
- educational institutions
- secondary school
- data analysis
- university students
- open ended
- mobile learning
- middle school students
- grade students
- elementary school
- helping students
- undergraduate students
- computer science
- problem based learning
- computer supported collaborative learning
- tutoring system
- young students
- text mining
- real world
- intrusion detection
- writing skills
- cooperative learning
- university level
- case study
- control group
- blended learning
- concept maps
- association rule mining