PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data.
Daniele ApilettiElena BaralisTania CerquitelliPaolo GarzaPietro MichiardiFabio PulvirentiPublished in: ICDM Workshops (2015)
Keyphrases
- high dimensional data
- frequent patterns
- frequent pattern mining
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensional
- mining algorithm
- pattern mining
- subspace clustering
- association rules
- high dimensionality
- mining frequent patterns
- data sets
- uncertain data
- similarity search
- original data
- tree structure
- data points
- clustering high dimensional data
- data structure
- itemsets
- multivariate temporal data
- association rule mining
- high dimensional datasets
- input data
- data distribution
- data analysis
- sequential patterns
- high dimensional spaces
- frequent itemsets
- high dimensional data sets
- apriori algorithm
- manifold learning
- image processing
- machine learning
- sequential pattern mining
- transactional databases
- data mining algorithms
- fp tree
- neural network