Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies.
Alberto Segura-DelgadoAugusto Anguita-RuizRafael AlcaláJesús Alcalá-FdezPublished in: Expert Syst. Appl. (2022)
Keyphrases
- high utility
- gene expression
- sequential patterns
- sequential pattern mining
- sequential data
- pattern mining
- microarray
- frequent sequences
- itemset mining
- mining algorithm
- frequent pattern mining
- topic in data mining
- high efficiency
- gene expression data
- itemsets
- sequence mining
- frequent patterns
- pruning strategy
- association rules
- microarray data
- association rule mining
- candidate generation
- frequent itemset mining
- multi dimensional
- transaction databases
- pattern discovery
- mining association rules
- regulatory elements
- web access
- frequent itemsets
- interesting patterns
- genomic data
- apriori algorithm
- binding sites
- rule mining
- sequence data
- transcription factors
- data mining techniques
- web logs
- data structure
- information retrieval