Hybrid Approach Using Ontology-Supported Case-Based Reasoning and Machine Learning for Defect Rate Prediction.
Bongjun JiFarhad AmeriJunhyuk ChoiHyunbo ChoPublished in: APMS (1) (2019)
Keyphrases
- case based reasoning
- machine learning
- knowledge representation
- case retrieval
- prediction accuracy
- knowledge engineering
- semantic web
- predictive modeling
- data mining
- expert systems
- pattern recognition
- machine learning methods
- prediction model
- domain knowledge
- domain ontology
- learning systems
- text mining
- case base
- prediction algorithm
- learning algorithm
- computational intelligence
- natural language processing
- inductive learning
- artificial intelligence
- decision trees
- inductive logic programming
- prediction error
- semantic information
- knowledge acquisition
- computer science
- cbr systems
- case based reasoning systems
- case adaptation
- semantically enhanced
- explanation based learning
- computational biology
- semantic annotation
- learning tasks
- decision support system
- computer vision
- knowledge base
- active learning
- reinforcement learning