Intertrasm - A Depth First Search Algorithm for Mining Intertransaction Association Rules.
Dan UngureanuAlexandru BoiceaPublished in: ICSOFT (ISDM/ABF) (2008)
Keyphrases
- search algorithm
- association rules
- association rule mining
- mining algorithm
- knowledge discovery
- mining association rules
- data mining
- association mining
- itemsets
- apriori algorithm
- market basket data
- data mining techniques
- frequent itemsets
- frequent patterns
- association rules mining
- search tree
- interesting association rules
- branch and bound
- quantitative association rules
- weighted association rules
- search strategy
- discovering association rules
- fuzzy association rules
- search space
- transactional databases
- association rule discovery
- market basket analysis
- rules discovered
- transaction data
- minimum support and minimum confidence
- pattern mining
- rule mining
- frequent item sets
- heuristic search
- temporal association rules
- interesting patterns
- association rule mining algorithm
- rule generation
- algorithm for mining association rules
- frequent pattern mining
- discovered knowledge
- interesting rules
- interestingness measures
- data structure
- positive and negative association rules
- association patterns
- formal concept analysis
- frequent itemset mining
- sequential patterns
- text mining
- fp tree
- depth first search
- effective pruning
- data mining algorithms
- incremental updating
- discovered rules
- iterative deepening
- sequential pattern mining
- data mining tools