Article ID Journal Published Year Pages File Type
4946070 Knowledge-Based Systems 2017 38 Pages PDF
Abstract
We demonstrate that the proposed temporal CBR system is able to detect the different proposed risk scenarios when there is a large number of cases. That is, the CBR systems are useful in the long term. Experiments indicate that the temporal CBM algorithms analysed are able to reduce case-bases successfully to detect abnormal scenarios. However, success in creating a maintained case-base equivalent to the original depends on the number of cases.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
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