Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning.
Dinesh SinghC. Krishna MohanPublished in: IEEE BigData (2018)
Keyphrases
- big data
- support vector machine
- kernel function
- support vector
- feature space
- data intensive
- kernel methods
- svm classification
- svm classifier
- support vector machine svm
- polynomial kernels
- rbf kernel
- cloud computing
- kernel space
- kernel pca
- multi class
- hyperplane
- nonlinear kernel
- data management
- data analysis
- support vectors
- data processing
- commodity hardware
- vast amounts of data
- big data analytics
- knowledge discovery
- unstructured data
- decision forest
- training data
- feature selection
- feature vectors
- kernel machines
- knn
- maximum margin
- feature extraction
- histogram intersection kernel
- decision function
- social media
- high dimensional
- soft margin
- standard svm
- data warehousing
- databases
- data driven decision making
- data science
- multiple kernel learning
- dimensionality reduction
- principal component analysis
- software engineering
- management system
- end users
- e learning
- real world