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(The rough partition of constrained rule set).
Section 3 presents a rough partition and then a stricter partition of the solution set.
From the partition in Proposition 1, we immediately obtain the following rough partition for ({mathcal F}{mathcal S}_{C_{10} subseteq C_{11},nsubseteq C_{21}}(s_0,s_0)).
(Illustrating the disadvantage of the above rough partition) The rest of this paper considers dataset ({mathcal T}) shown in Fig. 1a.
In next section, we first present an ineffective rough partition of the solution set, and then, based on above approach, we show a better strict partition for it.
Based on this rough partition (obtained from the lattice ({mathcal F}{mathcal L}{mathcal C}{mathcal G}) of frequent closed itemsets), association rules with constraints can be discovered in two steps.
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Secondly, a merging algorithm is developed based on initial segmenting and a rough partitioning of the network is obtained.
We chose the 21-day cutoff as a rough-and-ready, approximate partition of mulitfactorial disease burden.
This method divides the cumulative probability into K partitions to form K frequency binnings which correspond to K clusters, a very rough word partition which only considers frequency.
The second segmentation step is based on a primitive fitting segmentation approach [ 33, 34] that aims at refining the rough stem segmentation and partitioning the stem into different internodes (using the previously extracted region M).
With all those plain concrete floors, all those rough and ready timber partitions, plus the exposed ductwork, the sewing machines, lathes and looms, it feels a bit like a 19th-century Manchester mill brought up to date.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com