A novel unsupervised fuzzy clustering method for preprocessing of quantitative attributes in association rule mining.
Binu ThomasG. RajuPublished in: Inf. Technol. Manag. (2014)
Keyphrases
- decision trees
- association rule mining
- fuzzy clustering method
- preprocessing
- quantitative attributes
- association rules
- fuzzy c means algorithm
- mining association rules
- fuzzy clustering
- itemsets
- fuzzy c means
- data mining
- clustering method
- frequent itemsets
- data mining techniques
- mining algorithm
- pattern discovery
- interestingness measures
- unsupervised learning
- knowledge discovery
- association mining
- rule mining
- classification rules
- semi supervised
- weighted association rule mining
- feature extraction
- frequent itemset mining
- associative classification
- association rules mining
- positive and negative association rules
- databases
- interesting patterns
- frequent patterns
- supervised learning
- data structure
- clustering algorithm
- frequent item sets
- membership functions
- fuzzy sets