Can Domain Knowledge Help Case Based Diagnosis?
نویسندگان
چکیده
The quality of case data can be an important factor for a Case Based Reasoning (CBR) system. In this paper, we report an experimental study in using domain knowledge to help case-based diagnosis in a product maintenance context. For the problem we are facing, cases are based on the descriptions of customers who have little knowledge of their products. As each case can be associated with some domain knowledge provided by domain experts, we try to use the domain knowledge to assist case matching. Our experimental results show that the domain knowledge can significantly improve the performance of the case-based diagnosis.
منابع مشابه
A Case based Reasoning System based on Domain Ontology for Fault Diagnosis of Steam Turbines
Industrial diagnosis is a domain where problems are recurrent and therefore previous documented solution can be successfully reused. Different methodologies may be implemented for a given diagnosis domain, one of the appropriate, appears to be Case-Based Reasoning (CBR). A CBR system is a combination of processes and knowledge called “knowledge containers“, that allows to preserve and to exploi...
متن کاملA Talent Management Model in Active Knowledge-Based Companies in Agricultural Domain of Guilan Province (Case Study: Rasht City)
The study aims at providing a model for talent management in active knowledge-based companies in agricultural domain of Guilan Province. This applied and descriptive study with a mixed research method. In the qualitative part, an in-depth semi-structured interview with 30 experts was used and also the theoretical foundations and research background study were applied for qualitative data collec...
متن کاملExplanation-Based Similarity: A Unifying Approach for Integrating Domain Knowledge into Case-Based Reasoning for Diagnosis and Planning Tasks
Case-based problem solving can be signiicantly improved by applying domain knowledge (in opposition to problem solving knowledge), which can be acquired with reasonable eeort, to derive explanations of the correctness of a case. Such explanations, constructed on several levels of abstraction, can be employed as the basis for similarity assessment as well as for adaptation by solution reenement....
متن کاملA New Knowledge-Based System for Diagnosis of Breast Cancer by a combination of the Affinity Propagation and Firefly Algorithms
Breast cancer has become a widespread disease around the world in young women. Expert systems, developed by data mining techniques, are valuable tools in diagnosis of breast cancer and can help physicians for decision making process. This paper presents a new hybrid data mining approach to classify two groups of breast cancer patients (malignant and benign). The proposed approach, AP-AMBFA, con...
متن کاملUsing Domain Knowledge to Boost Case-Based Diagnosis: An Experimental Study in a Domain with Very Poor Data Quality
The quality of case data can be an important factor for a Case Based Reasoning (CBR) system. In our research, we are facing a diagnostic problem in a product maintenance domain, where a large volume of low quality case data is collected. In this paper, we report an experimental study of whether using domain knowledge can improve the performance of either non-diversified or diversified retrieval...
متن کامل