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- W2904400478 abstract "Problem of case-base size increases in the process of case-based maintenance can be solved by case deletion algorithms such as random, utility, footprint, and categorization. Nevertheless, the ability of reducing case-base size and competency of the system need to be improved. Thus, this research paper recommends that the new algorithm that is developed for improving the deletion and selection algorithms, which guarantee the best outcomes compared with four traditional methods. It has four algorithms, which are approving type of target problems, classifying cases, deleting irrelevant cases and selecting relevant cases. Accordingly, it provides higher percent size reduction, coverage value, and competency when compared with traditional methods as about at most 8%, 14% and 10% respectively." @default.
- W2904400478 created "2018-12-22" @default.
- W2904400478 creator A5007949101 @default.
- W2904400478 date "2018-10-01" @default.
- W2904400478 modified "2023-09-25" @default.
- W2904400478 title "Approval Deletion Model for Case-based Maintenance of Case-based Reasoning System" @default.
- W2904400478 cites W1567451061 @default.
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- W2904400478 doi "https://doi.org/10.1109/gcce.2018.8574871" @default.
- W2904400478 hasPublicationYear "2018" @default.
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