Using feature construction for dimensionality reduction in big data scenarios to allow real time classification of sequence data.
Michael SchaidnagelFritz LauxThomas ConnollyPublished in: DEC (2015)
Keyphrases
- feature construction
- sequence data
- big data
- data representation
- dimensionality reduction
- rule learning
- machine learning
- decision trees
- dimension reduction
- concept learning
- genetic programming
- cloud computing
- feature extraction
- feature space
- data analysis
- pattern recognition
- feature selection
- text classification
- high dimensionality
- high dimensional data
- big data analytics
- data processing
- data management
- principal component analysis
- support vector machine
- social media
- support vector
- information processing
- support vector machine svm
- model selection
- knowledge discovery
- real world
- databases