Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Exemplar based knowledge acquisition: a unified approach to concept representati on, classification, and learning
Derivational Analogy in PRODIGY: Automating Case Acquisition, Storage, and Utilization
Machine Learning - Special issue on case-based reasoning
Analysis and empirical studies of derivational analogy
Artificial Intelligence
Learning and reasoning by analogy
Communications of the ACM
Knowledge Engineering Requirements in Derivational Analogy
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
A Bayesian Framework for Case-Based Reasoning
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Fault Management in Computer Networks Using Case-Based Reasoning: DUMBO System
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
A Probabilistic Model for Case-Based Reasoning
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
A Case-Based Reasoning Approach to the Resolution of Faults in Communication Networks
Proceedings of the IFIP TC6/WG6.6 Third International Symposium on Integrated Network Management with participation of the IEEE Communications Society CNOM and with support from the Institute for Educational Services
Distributed Case-Based Reasoning for Fault Management
AIMS '07 Proceedings of the 1st international conference on Autonomous Infrastructure, Management and Security: Inter-Domain Management
Crawling Bug Tracker for Semantic Bug Search
DSOM '08 Proceedings of the 19th IFIP/IEEE international workshop on Distributed Systems: Operations and Management: Managing Large-Scale Service Deployment
Fault representation in case-based reasoning
DSOM'07 Proceedings of the Distributed systems: operations and management 18th IFIP/IEEE international conference on Managing virtualization of networks and services
| Hi-index | 0.00 |
We present a study of reasoning methods in Case-Based Reasoning, which can be applied for the communication system fault domain. Inspired by the reasoning approach of the experts in medical diagnosis, we propose a probabilistic reasoning method which comprises two processes: a ranking process restricting the scope of a problem and a selection process finding promising solutions for the problem. We experimentally evaluate this method and draw lessons from the results to improve it.