Mining Indirect Least Association Rule from Students' Examination Datasets.
Zailani AbdullahTutut HerawanNoraziah AhmadRozaida GhazaliMustafa Mat DerisPublished in: ICCSA (6) (2014)
Keyphrases
- association rules
- mining algorithm
- association rule mining
- student learning
- frequent itemsets
- transactional databases
- itemsets
- learning experience
- association mining
- mining association rules
- data mining
- data mining algorithms
- learning activities
- distance learning
- apriori algorithm
- interestingness measures
- college students
- high school
- data mining tasks
- higher education
- massive datasets
- knowledge discovery
- frequent patterns
- high school students
- learning process
- undergraduate students
- learning environment
- distance education
- researchers and practitioners interested
- online course
- university students
- rule mining
- transactional data
- frequent itemset mining
- e learning
- pattern mining
- learning styles
- problem based learning
- interesting association rules
- data mining techniques
- rule sets
- sequential patterns
- learning outcomes
- mobile learning
- data structure
- helping students
- collaborative learning
- frequent item sets
- control group
- web mining
- intelligent tutoring systems
- computer programming
- minimum support
- rule generation
- online learning
- pattern discovery
- university level
- science education
- concept maps
- dense datasets
- sequential pattern mining
- frequent pattern mining
- minimum support and minimum confidence