| 摘要 |
A computer implemented method including determining whether a predetermined condition is satisfied with respect to a case-based dataset stored within memory accessible by at least one processor; generating, for each of a plurality of rule-based classifiers, rule-based classification data identifying class boundaries between the records upon determining that the predetermined condition has been satisfied; computing a structural risk of the rule-based classification data for each of the rule-based classifiers with respect to the records identified within the record data; selecting rule-based classifiers having generated rule-based classification data identifying class boundaries between the records with a structural risk below a predetermined threshold; identifying selected rule-based classifiers having rule-based classification data that is within a predetermined degree of similarity with the case-wise classification data; and replacing the case-based dataset stored within the memory with rule-based classification data of at least one of the identified rule-based classifiers.
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