Mining approximate patterns with frequent locally optimal occurrences.
Atsuyoshi NakamuraIchigaku TakigawaHisashi TosakaMineichi KudoHiroshi MamitsukaPublished in: Discret. Appl. Math. (2016)
Keyphrases
- locally optimal
- frequent patterns
- mining frequent
- frequent episodes
- pattern mining
- closed patterns
- sequential patterns
- frequent sequential patterns
- frequent pattern mining
- event sequences
- mining algorithm
- interesting patterns
- globally optimal
- frequent subgraphs
- sequential pattern mining
- event streams
- mining frequent patterns
- pattern growth
- pattern discovery
- sequence mining
- event types
- frequently occurring
- frequent pattern discovery
- complex patterns
- transaction databases
- emerging patterns
- data mining techniques
- graph patterns
- frequent sequences
- discovering frequent
- efficient discovery
- maximal frequent
- frequent subtree mining
- frequent itemset mining
- concise representation
- temporal patterns
- mining patterns
- data mining
- frequent sets
- transactional data
- minimum support
- graph mining
- indirect association
- periodic patterns
- association patterns
- previously unknown
- graph databases
- association rule mining
- optimal solution
- discovering interesting
- repeating patterns
- positive and negative association rules
- tree mining
- condensed representations
- transactional databases
- candidate generation
- apriori algorithm
- frequent itemsets
- itemsets
- text mining
- dynamic programming
- association rules
- machine learning