Interestingness measures and strategies for mining multi-ontology multi-level association rules from gene ontology annotations for the discovery of new GO relationships.
Prashanti MandaFiona M. McCarthySusan M. BridgesPublished in: J. Biomed. Informatics (2013)
Keyphrases
- gene ontology
- interestingness measures
- association rules
- biomedical ontologies
- association rule mining
- knowledge discovery
- discovered knowledge
- microarray
- semantic similarity
- semantic relationships
- data mining
- itemsets
- fuzzy association rules
- pattern discovery
- rule mining
- mining algorithm
- frequent itemset mining
- rule discovery
- interesting rules
- discovered association rules
- frequent itemsets
- protein protein interactions
- mining association rules
- data mining techniques
- information theoretic
- discovered rules
- apriori algorithm
- rules discovered
- biological networks
- discovery process
- co occurrence
- frequent patterns
- correlation coefficient
- domain knowledge
- classification rules
- rule sets
- gene expression
- interesting patterns
- biological data
- pattern mining
- data mining algorithms
- frequent pattern mining
- wordnet
- high throughput
- databases
- data sets