An Efficient Approach for Mining Weighted Approximate Closed Frequent Patterns Considering Noise Constraints.
Unil YunEunchul YoonPublished in: Int. J. Uncertain. Fuzziness Knowl. Based Syst. (2014)
Keyphrases
- frequent patterns
- closed patterns
- frequent pattern mining
- closed sequential patterns
- mining algorithm
- pattern mining
- downward closure property
- sequential patterns
- mining frequent patterns
- sequential pattern mining
- itemsets
- discovery of frequent patterns
- interesting patterns
- mining frequent
- frequent pattern discovery
- pattern growth
- frequent pattern mining algorithms
- anti monotone
- minimum support
- maximal frequent
- uncertain data
- fp tree
- tree structure
- frequent itemsets
- candidate generation
- transactional databases
- association rules
- discovering frequent
- closed pattern mining
- apriori algorithm
- candidate patterns
- frequent pattern tree
- transaction databases
- emerging patterns
- fp growth
- association rules mining
- frequent item sets
- pattern set
- data structure
- incremental mining
- frequent itemset mining
- data mining algorithms
- data sets