Clustering and Dimensionality Reduction to Discover Interesting Patterns in Binary Data.
Francesco PalumboAlfonso Iodice D'EnzaPublished in: GfKl (2008)
Keyphrases
- binary data
- interesting patterns
- pattern discovery
- dimensionality reduction
- itemsets
- high dimensional
- categorical data
- discovered patterns
- pattern mining
- previously unknown
- overlapping clusters
- formal concept analysis
- high dimensional data
- data mining techniques
- exploratory data mining
- high dimensionality
- association rules
- frequent patterns
- association rule mining
- low dimensional
- frequent itemsets
- data sets
- principal component analysis
- similar patterns
- knowledge discovery
- sequential pattern mining
- data points
- cluster analysis
- complex patterns
- continuous data
- k means
- clustering algorithm
- multi dimensional
- periodic patterns
- data streams
- pattern recognition
- unsupervised learning
- semi supervised
- nearest neighbor
- numerical data