Clustering Zebrafish Genes Based on Frequent-Itemsets and Frequency Levels.
Daya C. WimalasuriyaSridhar RamachandranDejing DouPublished in: PAKDD (2007)
Keyphrases
- frequent itemsets
- itemsets
- association rules
- frequent itemset mining
- mining frequent itemsets
- mining algorithm
- association rule mining
- clustering algorithm
- data streams
- concise representation
- frequent itemsets mining
- discovery of association rules
- itemset mining
- data structure
- clustering method
- k means
- transactional databases
- constraint based mining
- mining association rules
- frequent pattern mining
- gene expression
- mining frequent patterns
- pruning strategy
- uncertain data
- closed itemsets
- minimum support
- condensed representations
- outlier detection
- cluster analysis
- categorical data
- frequent patterns
- maximal frequent itemsets
- pattern mining
- transaction data
- binary data
- microarray data
- interesting patterns
- data mining tasks
- frequent set mining
- generalized association rules
- data mining techniques
- pattern discovery
- deduction rules
- dense datasets
- discovering association rules
- closed frequent itemsets
- microarray
- frequently occurring
- prefix tree
- transaction databases
- gene expression data
- fp tree
- frequent sets