원문정보
국제인공지능학회(구 한국인터넷방송통신학회)
The International Journal of Advanced Smart Convergence
Volume 6 Number 3
2017.09
pp.17-21
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, the service execution accuracy was compared by ontology based rule inference method and machine learning method, and the amount of data at the point when the service execution accuracy of the machine learning method becomes equal to the service execution accuracy of the rule inference was found. The rule inference, which measures service execution accuracy and service execution accuracy using accumulated data and pattern matching on service results. And then machine learning method measures service execution accuracy using cross validation data. After creating a confusion matrix and measuring the accuracy of each service execution, the inference algorithm can be selected from the results.
목차
Abstract
1. Introduction
2. Rules and machine learning based service
2.1 Rule-based system
2.2 Ontology-based rule system
2.3 machine learning
3. Performance evaluation of rule based verses machine learning
3.1 Implementation of ontology-based rule inference
3.2 Implementation of decision tree inference
4. Conclusion
References
1. Introduction
2. Rules and machine learning based service
2.1 Rule-based system
2.2 Ontology-based rule system
2.3 machine learning
3. Performance evaluation of rule based verses machine learning
3.1 Implementation of ontology-based rule inference
3.2 Implementation of decision tree inference
4. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보