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: CoRR (2019)
Keyphrases
- association rule mining
- databases
- metadata
- association rules
- knowledge discovery
- data mining
- data mining techniques
- cross level
- heterogeneous data
- pattern discovery
- mining algorithm
- association mining
- frequent itemset mining
- itemsets
- associative classification
- database
- association rule mining algorithm
- frequent itemsets
- association rule discovery
- rule mining
- mining association rules
- interesting patterns
- discovered association rules
- data model
- data integration
- positive and negative association rules
- text mining
- recommender systems
- semantic web
- data warehouse
- apriori algorithm
- real world
- biomedical ontologies
- classification rule mining
- interesting rules
- website
- rule discovery
- data structure
- concept lattice
- data management