We tried nine different values for the minimum support threshold, from 5 to 0.01%.
The minimum support threshold, [9 values from 5 to 0.01%].
For each pair of datasets (DB) and minimum support (MS), m ranges from 10to28%8 % of (vert A^{F}vert ) (step 2%%) and d = 60.
For DAC, we evaluated different choices for: The use of the database coverage technique, [yes/no] The function used in the voting, f, [max/min/mean] The measure used in f, m, [confidence/1-support] The function used in the model consolidation phase, g, [max/min/product] The minimum support threshold, [9 values from 5 to 0.01%] for a total of 324 runs, considering all the combinations of values.
For a specific rule, we first calculated the estimated support and confidence from the data, and the theoretical minimum support and the theoretical minimum confidence from the methods that are described in the Method section.
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Minimum support ith varying minimum support thresholds, from 0.02 to 0.0001, the best performing solution is stably with (f=max) (Fig. 6b) and (m=) confidence, and indifferently max or min as g.
MinFIA identifies minimum support item as a victim and removes it from the supporting transaction.
Minimum support threshold for choosing maximal frequent itemsets have been changed from 3to1%1%.
