Service Composition Recommendation Method Based on Recurrent Neural Network and Naive Bayes.
Ming ChenJunqiang ChengGuanghua MaLiang TianXiaohong LiQingmin ShiPublished in: Sci. Program. (2021)
Keyphrases
- recurrent neural networks
- service composition
- naive bayes
- decision trees
- web service composition
- classification accuracy
- text classification
- web services
- logistic regression
- neural network
- naive bayes classifier
- service oriented
- recurrent networks
- petri net
- training data
- text categorization
- feed forward
- web services composition
- naive bayesian classifier
- bayesian networks
- web service compositions
- feature selection
- averaged one dependence estimators
- conditional independence assumption
- test instances
- semantic web service composition
- independence assumption
- artificial intelligence
- base classifiers
- artificial neural networks
- bayesian network classifiers
- probabilistic classifiers
- attribute dependencies
- data sets
- supervised learning