Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming.
Guangfei YangKaoru ShimadaShingo MabuKotaro HirasawaJinglu HuPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- genetic network programming
- association rules
- association rule mining
- mining algorithm
- association mining
- formal concept analysis
- knowledge discovery
- frequent itemsets
- data mining
- mining association rules
- apriori algorithm
- itemsets
- data mining techniques
- market basket data
- frequent patterns
- interesting association rules
- rule mining
- transactional databases
- association rules mining
- cross level
- concept lattice
- quantitative association rules
- positive and negative association rules
- weighted association rules
- market basket analysis
- conceptual structures
- interesting patterns
- minimum support and minimum confidence
- frequent itemset mining
- discovering association rules
- pattern discovery
- semantic web
- classification rules
- temporal association rules
- fuzzy association rules
- association rule discovery
- association rule mining algorithm
- knowledge representation
- interestingness measures
- domain specific
- formal ontologies
- interesting rules
- domain knowledge
- transaction data
- rules discovered
- semantic mapping
- pattern mining
- discovered knowledge
- ontology construction
- frequent pattern mining
- frequent item sets
- algorithm for mining association rules
- text mining
- ontological concepts
- semi automatic
- emerging patterns