Mining rules from an incomplete dataset with a high missing rate.
Tzung-Pei HongChih-Wei WuPublished in: Expert Syst. Appl. (2011)
Keyphrases
- missing data
- association rule mining
- rule mining
- missing values
- association rules
- interesting association rules
- peculiarity oriented mining
- fuzzy association rules
- incomplete data
- rule generation
- positive and negative association rules
- text mining
- wide range
- high rate
- minimum support and minimum confidence
- discovering association rules
- missing information
- mining association rules
- apriori algorithm
- mining algorithm
- rule sets
- data mining
- knowledge discovery
- database
- neural network
- weighted association rules
- synthetic datasets
- pattern mining
- uncertain information
- sequential patterns
- benchmark datasets
- generalized association rules
- noisy data
- machine learning
- sequential pattern mining
- temporal association rules
- fuzzy sets
- actionable knowledge
- data mining techniques
- massive datasets
- data mining algorithms
- web mining
- classification rules