A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association Rules.
B. ShekarRajesh NatarajanPublished in: ICDM (2004)
Keyphrases
- association rules
- transaction data
- association rule mining
- knowledge discovery
- interestingness measures
- classification rules
- apriori algorithm
- data mining
- discovered rules
- itemsets
- frequent itemsets
- association mining
- mining algorithm
- market basket data
- mining association rules
- interesting rules
- database
- data mining techniques
- frequent sets
- concurrency control
- frequent patterns
- data driven
- association rules mining
- rule mining
- interesting association rules
- associative classification
- formal concept analysis
- transaction model
- frequent itemset mining
- transaction processing
- pattern discovery
- neural network
- transaction management
- rule sets
- discovered patterns
- human experts
- decision trees
- numeric attributes
- databases