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For the topic discovery experiment, we changed the minimum support values and the confidence for frequent pattern mining, which results in two set of topics (two topic datasets).
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The minimum support value is set to be 0.5.
The user-predefined minimum support value and confidence value are applied in finding the association rules.
In this association analysis, the minimum support value was 0.02 and the minimum confidence value was 0.50.
A minimum support value of 10 samples was used in conjunction with a minimum confidence of 0.1 and lift of 1.0 to account for the sparsity of data.
With the exception of the minimum support value and the number of reported motifs all the remaining Pratt parameters were used assuming the default values recommended by the authors (program available at [ 50]).
The authors [ 42] assume that since all the reported motifs respect the minimum support value, they are in the same conditions and therefore only the information provided by the motif composition is considered.
In order to generate association rules with minimum 30%% support values are generated for each cluster and EDS.
By enforcing the minimum bootstrap support values at ≥ 50% or ≥ 75%, we found 531 (~3.5% of the genes) and 406 trees, respectively, that satisfied the monophyly constraint.
We have accumulated number of features in terms of attribute patterns, which cover maximal frequent itemsets that are sufficient after selecting very low minimum support threshold value.
An itemset, IS which contains items from I, is said to be frequent if and only if it is subset from a number of transactions in T greater than or equal to a pre-determined minimum support threshold value (minsup).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com