Knowledge discovery of customer purchasing intentions by plausible-frequent itemsets from uncertain data.
Cheng-Hsiung WengTony Cheng-Kui HuangPublished in: Appl. Intell. (2015)
Keyphrases
- uncertain data
- knowledge discovery
- frequent itemsets
- mining frequent itemsets
- association rules
- association rule mining
- itemsets
- mining frequent patterns
- data streams
- frequent itemset mining
- interesting patterns
- data mining
- uncertain databases
- frequent itemsets mining
- mining algorithm
- frequent patterns
- data mining techniques
- transactional databases
- databases
- closed itemsets
- data analysis
- data mining algorithms
- mining association rules
- outlier detection
- transaction databases
- formal concept analysis
- pattern growth
- association rules mining
- pruning strategy
- apriori algorithm
- web mining
- itemset mining
- data structure
- minimum support
- machine learning
- information retrieval
- frequent pattern mining
- concept lattice