A Hybrid Supervised/Unsupervised Machine Learning Approach to Classify Web Services.
Zakieh Alizadeh-SaniPablo Plaza-MartínezGuillermo Hernández GonzálezAlfonso González-BrionesPablo ChamosoJuan M. CorchadoPublished in: PAAMS (Workshops) (2021)
Keyphrases
- machine learning
- web services
- supervised learning
- unsupervised learning
- supervised classification
- semi supervised
- learning algorithm
- supervised and semi supervised
- unsupervised methods
- web service composition
- semi supervised learning
- discriminant projection
- supervised training
- active learning
- pattern recognition
- unsupervised feature selection
- supervised methods
- feature selection
- supervised and unsupervised learning
- automatic discovery
- growing cell structures
- word sense induction
- data driven
- business process
- data intensive
- text mining
- machine learning methods
- learning tasks
- decision trees
- reinforcement learning
- web applications
- service oriented
- weakly supervised
- text classification
- semantic web services
- knowledge acquisition
- service discovery
- quality of service
- artificial intelligence
- computational intelligence
- training set
- data mining
- computer vision
- unlabeled data
- web services composition
- service oriented architecture
- service composition
- learning problems
- transfer learning
- business processes
- service providers