Tiger hash based AdaBoost machine learning classifier for secured multicasting in mobile healthcare system.
Rajagopal VenkatesanBalakrishnan SrinivasanPeriyasamy RajendiranPublished in: Clust. Comput. (2019)
Keyphrases
- machine learning
- learning algorithm
- decision trees
- feature selection
- training data
- adaboost algorithm
- support vector
- support vector machine
- weak learners
- weak classifiers
- mobile devices
- mobile technologies
- machine learning algorithms
- ensemble learning
- classifier ensemble
- multi class
- mobile phone
- learning classifier systems
- face detection
- multiclass classification
- feature set
- mobile environments
- text classification
- training samples
- context aware
- cascade classifier
- base classifiers
- mobile applications
- transitive closure
- learning problems
- machine learning methods
- information systems
- model selection
- ensemble classifier
- health monitoring systems
- computer vision
- feature space
- active learning
- supervised learning
- ensemble methods
- mobile learning
- classification algorithm
- mobile computing
- computing environments
- cloud computing
- linear classifiers
- majority voting
- binary classification problems
- binary classification
- face detector
- data dissemination
- training process