Experimental comparison of the diagnostic capabilities of classification and clustering algorithms for the QoS management in an autonomic IoT platform.
Luis MoralesClovis Anicet OuedraogoJosé AguilarChristophe ChassotSamir MedjiahKhalil DriraPublished in: Serv. Oriented Comput. Appl. (2019)
Keyphrases
- experimental comparison
- management system
- clustering algorithm
- feature selection
- image classification
- pattern recognition
- classification accuracy
- resource management
- quality of service
- classification method
- real time
- support vector machine
- support vector
- information systems
- classification algorithm
- ad hoc networks
- class labels
- clustering analysis
- clustering method
- support vector machine svm
- feature vectors
- autonomic systems
- decision trees
- service management
- clinical diagnosis
- service platform
- unsupervised clustering
- ip networks
- computer aided diagnosis systems
- fuzzy clustering
- hierarchical clustering
- unsupervised learning
- text classification
- supervised learning
- feature space
- feature extraction
- machine learning