Using association rule mining and ontologies to generate metadata recommendations from multiple biomedical databases.
Marcos Martínez RomeroMartin J. O'ConnorAttila L. EgyediDebra WillrettJosef HardiJohn GraybealMark A. MusenPublished in: Database J. Biol. Databases Curation (2019)
Keyphrases
- association rule mining
- databases
- metadata
- association rules
- knowledge discovery
- data mining
- association mining
- itemsets
- mining algorithm
- database
- association rule discovery
- frequent itemsets
- rule mining
- frequent itemset mining
- heterogeneous data
- pattern discovery
- association rule mining algorithm
- data mining techniques
- text mining
- frequent subtree mining
- cross level
- interestingness measures
- apriori algorithm
- recommender systems
- positive and negative association rules
- pattern extraction
- discovered association rules
- interesting patterns
- classification rule mining
- interesting rules
- data integration
- semantic web
- multi dimensional
- information extraction
- data streams
- machine learning
- real world
- data sets