KDD-SC: Subspace Clustering Extensions for Knowledge Discovery Frameworks.
Stephan GünnemannHardy KremerMatthias HannenThomas SeidlPublished in: CoRR (2014)
Keyphrases
- subspace clustering
- knowledge discovery
- knowledge discovery in databases
- high dimensional data
- kdd process
- knowledge discovery and data mining
- clustering method
- subspace clusters
- clustering algorithm
- data mining
- high dimensional
- databases
- clustering high dimensional data
- text mining
- data analysis
- data mining techniques
- association rules
- data mining and knowledge discovery
- association rule mining
- interesting patterns
- machine learning
- data mining algorithms
- clustering approaches
- subgraph mining
- database
- information retrieval
- nearest neighbor
- low dimensional spaces
- data sets
- high dimensionality
- argumentation frameworks
- data mining process
- high dimensional feature spaces
- subspace projection
- data mining tasks
- data mining applications
- neural network