Mining concise patterns on graph-connected itemsets.
Di ZhangYunquan ZhangQiang NiuXingbao QiuPublished in: Neurocomputing (2019)
Keyphrases
- itemsets
- pattern mining
- emerging patterns
- frequent itemsets
- frequent patterns
- connected components
- concise representation
- mining algorithm
- interesting patterns
- frequent pattern mining
- closed patterns
- graph mining
- frequent itemset mining
- association patterns
- graph patterns
- transactional databases
- association rule mining algorithms
- discovered patterns
- itemset mining
- association rule mining
- interesting itemsets
- transaction databases
- transaction data
- frequent sets
- association rules
- frequent subgraphs
- mining association rules
- graph data
- data structure
- pattern discovery
- support threshold
- data streams
- frequent item sets
- sequential pattern mining
- anti monotone
- condensed representations
- minimum support
- mining frequent patterns
- periodic patterns
- interestingness measures
- mining frequent
- closed itemsets
- data mining algorithms
- pruning strategy
- sequential patterns
- interesting association rules
- data mining techniques
- apriori algorithm
- high utility itemsets
- fp tree
- sequential pattern mining algorithm
- tree structure
- graph databases
- indirect association
- closed frequent itemsets
- incremental mining
- candidate generation
- pattern growth
- data mining
- closed item sets
- algorithms for mining association rules
- knowledge discovery
- uncertain data
- high utility