SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity.
Casimiro Aday Curbelo MontañezPaul FergusCarl ChalmersNurul Hashimah Ahamed Hassain MalimBasma AbdulaimmaDenis ReillyFrancesco FalcianiPublished in: IEEE Access (2020)
Keyphrases
- mining algorithm
- association rules
- pattern mining
- association rule mining
- sequential patterns
- itemsets
- discovering frequent
- frequent patterns
- pruning strategy
- frequent itemsets
- tree structure
- minimum support
- incremental mining
- sequential pattern mining
- data mining algorithms
- mining frequent
- weighted association rules
- mining association rules
- knowledge discovery
- incremental updating
- frequent itemset mining
- data mining
- data mining process
- rule mining
- rule sets
- periodic patterns
- classification rules
- graph databases
- frequent item sets
- data streams