A False Negative Maximal Frequent Itemset Mining Algorithm over Stream.
Haifeng LiNing ZhangPublished in: ADMA (1) (2011)
Keyphrases
- mining algorithm
- false negative
- frequent itemsets
- data streams
- false positives
- closed frequent itemsets
- itemsets
- frequent itemset mining
- association rule mining
- sliding window
- association rules
- mining frequent itemsets
- frequent patterns
- pruning strategy
- negative association rules
- transactional databases
- itemset mining
- false positive rate
- pattern mining
- mining frequent
- incremental mining
- discovering frequent
- detection rate
- data structure
- closed itemsets
- mining association rules
- sequential pattern mining
- minimum support
- frequent item sets
- transaction databases
- streaming data
- emerging patterns
- sequential patterns
- mining frequent patterns
- high utility itemsets
- frequent pattern tree
- incremental updating
- minimum support threshold
- fp tree
- candidate generation
- frequent pattern mining
- uncertain data
- association rules mining
- data analysis
- apriori algorithm
- machine learning
- preprocessing
- multi dimensional
- data sets