An Uncertainty Rule Generation Algorithm for Dynamic Medical Data


This paper describes an algorithm that handles dynamic data without the need to recover the itemsets from the beginning. The algorithm’s novelty lies with the generation of the itemset. The algorithm uses specific metrics, similar to those in an association rule mining algorithm, in order to deal with missing values. A Certainty Factor is assigned to each… (More)

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