A Case for Usage of Case Usage in Case Based Reasoning

Mohamed A. K. Sadiq and Deepak Khemani, Indian Institute of Technology

Some 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.


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