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Non-derivable frequent itemsets are one of several condensed representations of frequent itemsets, which store all of the information contained in frequent itemsets using less space, thus being more suitable for stream mining.
An alternative approach is to utilize condensed, lossless representations of frequent itemsets.
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They also serve as a condensed representation of frequent itemsets, as starting point for computing bases of association rules, and as a visualization method for association rules.
Third, a structure and a unique representation of frequent itemsets with extended double constraints are shown by representative closed itemsets and their generators.
To briefly present the results regarding the representation of the rule sides, we first consider a fairly general representation of frequent sub-items of Y that are restricted on X with minimum single constraint.
Third, we show a structure and a unique representation of frequent itemsets with EDC that help us test the conditions on the quite small number and size of generators.
While the results above seem to be not suitable with the stated problem, an approach that is based on the condensed representation of frequent itemsets might be more efficient.
An impressed approach is to combine between constraint properties and the condensed representation of frequent itemsets, such as maximal ones [11, 21], closed ones or generators [7, 8, 26, 32, 33].
4, we propose a structure of the solution set based on a necessary and sufficient condition of closed itemsets and their generators for the emptiness of ({mathcal F}{mathcal S}_{C_{10} subseteq C_{11}nsubseteq, C_{21}}(s_0,s_1)), and a unique representation of frequent itemsets with extended double constraint in each equivalence class based on closed itemsets and their generators.
First, volunteer GPs collected data only from patients whom they have observed in consultations, which may have caused an over-representation of the frequent users of primary care services.
P.S. Germany's cinema, on the other hand, is exerting itself to abase the unholiest of leaders by means of frequent representation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com