Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy.
Julio J. ValdésAlan J. BartonPublished in: Trans. Rough Sets (2007)
Keyphrases
- high dimensional data
- distributed computing
- finding relevant
- data mining
- data analysis
- distributed data mining
- low dimensional
- nearest neighbor
- dimensionality reduction
- grid computing
- distributed environment
- high dimensional
- distributed systems
- high dimensionality
- subspace clustering
- cloud computing
- fault tolerance
- data sets
- data points
- mobile agents
- high dimensional spaces
- similarity search
- peer to peer
- knowledge discovery
- virtual machine
- input data
- association rules
- distributed computing environment
- manifold learning
- data mining techniques
- data distribution
- clustering high dimensional data
- mobile communications
- pattern recognition
- high dimensional datasets
- dimensional data
- database
- high dimensional data sets
- real world
- computer vision
- database systems
- computer science
- data warehouse