A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data.
Daniele ApilettiElena BaralisTania CerquitelliPaolo GarzaFabio PulvirentiPietro MichiardiPublished in: Big Data Res. (2017)
Keyphrases
- high dimensional data
- learning algorithm
- np hard
- itemset mining
- high dimensional
- k means
- dimensionality reduction
- tree structure
- itemsets
- input data
- low dimensional
- data sets
- data points
- subspace clustering
- clustering high dimensional data
- dimensional data
- mining high utility itemsets
- nearest neighbor
- data streams
- pattern recognition
- image processing
- real world
- neural network