Semantic-Guided Feature Selection for Industrial Automation Systems.
Martin RingsquandlSteffen LamparterSebastian BrandtThomas HubauerRaffaello LeprattiPublished in: ISWC (2) (2015)
Keyphrases
- feature selection
- text categorization
- mutual information
- natural language
- industrial applications
- semantic information
- machine learning
- semantic knowledge
- semantic search
- semantic similarity
- feature set
- text classification
- high level
- semantic web
- classification accuracy
- semantic analysis
- unsupervised learning
- dimensionality reduction
- microarray data
- multi class
- semantic network
- multi task
- feature weighting
- feature space
- decision trees
- irrelevant features
- industrial environment
- method for feature selection