Building FCA-Based Decision Trees for the Selection of Heterogeneous Services.
Stéphanie CholletVincent LestideauPhilippe LalandaYoann MaurelPierre ColombOlivier RaynaudPublished in: IEEE SCC (2011)
Keyphrases
- decision trees
- highly dynamic
- web services
- service providers
- loosely coupled
- formal concept analysis
- heterogeneous networks
- predictive accuracy
- heterogeneous systems
- service composition
- machine learning
- service oriented
- data mining methods
- random forest
- transparent access
- web service selection
- mobile applications
- naive bayes
- training data
- service quality
- decision tree learning
- context aware
- decision rules
- machine learning algorithms
- data sets
- selection algorithm
- pervasive environments
- attribute selection
- heterogeneous environments
- web service composition
- rule induction
- textual data
- information services
- ubiquitous computing