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: CoRR (2019)
Keyphrases
- mining algorithm
- association rules
- association rule mining
- pattern mining
- itemsets
- discovering frequent
- incremental mining
- frequent itemsets
- frequent patterns
- sequential patterns
- pruning strategy
- data mining
- sequential pattern mining
- tree structure
- data mining algorithms
- minimum support
- classification rules
- mining frequent
- knowledge discovery
- frequent itemset mining
- frequent item sets
- rule mining
- mining association rules
- apriori algorithm
- incremental updating
- pattern discovery
- data mining techniques
- data mining process
- multi dimensional
- microarray
- periodic patterns
- mining frequent patterns
- data streams
- databases