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Here, minimum confidence value is 0.7.
After obtaining large itemsets, the association rules are generated based on minimum support and minimum confidence value.
Further, an association rule (X rightarrow Y) is said to be of specific importance when its confidence score is greater than or equal to minimum confidence value.
Based on above figure, the itemset ({mathrm{Learning}, mathrm{Objectives} mathrm{Commentary}}) would be discarded as the confidence value is 0.62 which is less than the minimum confidence value (0.7).
In this association analysis, the minimum support value was 0.02 and the minimum confidence value was 0.50.
The normalization and analysis steps were weighted using the BlueFuse quality measure, confidence values between 0 and 1 [ 51], and manually excluded spots were given the minimum confidence value.
Similar(54)
The maximum E value, the minimum TransTerm confidence value, maximum RNAMotif and FindTerm scores, and minimum and maximum lengths of predicted loci were set to the following values: Search A- 1, 80%, -6, -7, 30, and 600; Search B- 1e-5, 86%, -7.5, -10, 35, and 550; Search C- 1e-15, 87%, -9, -10, 50, and 500; Search D- 1e-25, 90%, -10, -11, 60, and 450.
For CAR, the minimum of confidence value and the support value were determined as 0.1.
The minimum average confidence value of 15 was used.
Quality clip operates by first identifying the highest quality point in a sequence and moving a sliding window of 50 bases in both directions from this region, until the average quality for the window is below the minimum average confidence value.
The user-predefined minimum support value and confidence value are applied in finding the association rules.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com