Compression, Clustering, and Pattern Discovery in Very High-Dimensional Discrete-Attribute Data Sets.
Mehmet KoyutürkAnanth GramaNaren RamakrishnanPublished in: IEEE Trans. Knowl. Data Eng. (2005)
Keyphrases
- pattern discovery
- high dimensional
- data sets
- categorical attributes
- high dimensional data sets
- high dimensional data
- data analysis
- continuous attributes
- pattern extraction
- high dimensionality
- numerical attributes
- data points
- pattern mining
- association rule mining
- data mining
- frequently occurring
- recursive partitioning
- subgroup discovery
- clustering method
- sequential patterns
- categorical data
- interesting patterns
- attribute values
- similarity search
- clustering algorithm
- microarray data
- low dimensional
- multi dimensional
- dimensionality reduction
- temporal patterns
- recurring patterns
- discovering patterns
- temporal data mining
- image compression
- database
- k means
- motif discovery
- association patterns
- association rules
- post processing
- rule discovery
- graph theoretic
- graph mining
- knowledge discovery
- gene expression data