Add to ORKGSome of the issues in case retrieval and maintenance of case-bases are discussed. Conventionally, nearest neighbor algorithm is applied for retrieval of similar cases. Uniqueness of feature-values is not rewarded in such similarity matching functions. In order to refine the retrieval process, a metric based on successful case usage in the past is incorporated. This metric is shown to be useful in case-base maintenance. Applications in Homoeopathy remedy and personal tour selection are presented with comparative results
Retrieval of cases is one important step within the case-based reasoning paradigm. We propose an imp...
Case-based Reasoning (CBR), a method of analogical reasoning which is common and extremely important...
Paper presented at the International Conference on Case Based Reasoning (ICCBR-11), Greenwich, Londo...
An efficient retrieval of a relatively small number of relevant cases from a huge case base is a cru...
Abstract. We present a case-based reasoning technique based on con-ceptual neighborhoods of cases. T...
Case-based reasoning utilizes past experiences as a key data resource for future problem solving and...
The knowledge stored in a case base is central to the problem solving of a case-based reasoning (CBR...
Case-based reasoning has become a successful technique that uses the previous experience as a proble...
AbstractCase-based reasoning relies heavily on the availability of a highly competent case base to m...
. An efficient retrieval of a relatively small number of relevant cases from a huge case base is a c...
grantor: University of TorontoSimilarity plays a central role in theories of human problem...
Classification involves associating instances with particular classes by maximizing intra-class simi...
AbstractOne of the major assumptions in Artificial Intelligence is that similar experiences can guid...
... this article is to define a framework for evaluating similarity concepts in case retrieval and t...
Case-Based Reasoning (CBR) is a good technique to solve new problems based in previous experience. M...
Retrieval of cases is one important step within the case-based reasoning paradigm. We propose an imp...
Case-based Reasoning (CBR), a method of analogical reasoning which is common and extremely important...
Paper presented at the International Conference on Case Based Reasoning (ICCBR-11), Greenwich, Londo...
An efficient retrieval of a relatively small number of relevant cases from a huge case base is a cru...
Abstract. We present a case-based reasoning technique based on con-ceptual neighborhoods of cases. T...
Case-based reasoning utilizes past experiences as a key data resource for future problem solving and...
The knowledge stored in a case base is central to the problem solving of a case-based reasoning (CBR...
Case-based reasoning has become a successful technique that uses the previous experience as a proble...
AbstractCase-based reasoning relies heavily on the availability of a highly competent case base to m...
. An efficient retrieval of a relatively small number of relevant cases from a huge case base is a c...
grantor: University of TorontoSimilarity plays a central role in theories of human problem...
Classification involves associating instances with particular classes by maximizing intra-class simi...
AbstractOne of the major assumptions in Artificial Intelligence is that similar experiences can guid...
... this article is to define a framework for evaluating similarity concepts in case retrieval and t...
Case-Based Reasoning (CBR) is a good technique to solve new problems based in previous experience. M...
Retrieval of cases is one important step within the case-based reasoning paradigm. We propose an imp...
Case-based Reasoning (CBR), a method of analogical reasoning which is common and extremely important...
Paper presented at the International Conference on Case Based Reasoning (ICCBR-11), Greenwich, Londo...