Feature Selection over Distributed Data Streams through Convex Optimization.
Jacob KoganPublished in: SDM (2012)
Keyphrases
- convex optimization
- distributed data streams
- feature selection
- data streams
- interior point methods
- low rank
- text categorization
- machine learning
- convex optimization problems
- text classification
- convex relaxation
- norm minimization
- total variation
- convex formulation
- distributed environment
- support vector
- primal dual
- unsupervised feature selection
- support vector machine
- feature space
- feature extraction
- operator splitting
- data mining
- feature subset
- model selection
- semidefinite program