A Hybrid Method for High-Utility Itemsets Mining in Large High-Dimensional Data.
Guangzhu YuShihuang ShaoBin LuoXianhui ZengPublished in: Int. J. Data Warehous. Min. (2009)
Keyphrases
- high dimensional data
- hybrid method
- high utility itemsets
- mining algorithm
- mining high utility itemsets
- itemsets
- itemset mining
- nearest neighbor
- dimensionality reduction
- high dimensional
- low dimensional
- subspace clustering
- data sets
- data analysis
- pattern mining
- similarity search
- anti monotone
- high utility
- data points
- data distribution
- hybrid algorithm
- data mining
- pattern growth
- frequent itemsets
- association rule mining
- association rules
- frequent patterns
- sequential pattern mining
- neural network
- support vector machine
- feature space
- sequential patterns
- input data
- knn
- data streams
- data structure
- feature extraction
- data mining algorithms
- frequent itemset mining
- machine learning
- mining frequent itemsets
- transactional databases
- evolutionary algorithm
- mining frequent patterns
- knowledge discovery
- text mining