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Every machine finds frequent patterns for its sample and reducer combines the results.
The procedure is followed by a comprehensive case study to demonstrate how the proposed approach can be used to mine for causal structures and identify frequent patterns for vegetation, animal, equipment failure, public accident, and lightning-related faults.
Using a normalized co-occurrence score avoids many frequent patterns for describing overlapped combinations.
On the other hand, TNMCA searches frequent patterns for each network to discover appropriate patterns for each network.
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From manual inspection of the cases, the most frequent pattern for non-compliance is age above the threshold followed by near cut-off values for risk factors and unknown reasons.
Problem statement Given a large tree T and a minimum support threshold minsup, our goal is to mine all maximal homomorphic frequent patterns from T. Our approach for mining homomorphic tree patterns from a large tree iterates between the candidate generation phase and the support counting phase.
Algorithm 1: freqPattens Ω, s min, l min, α, S| α, R) -- the modified PrefixSpan algorithm for mining maximal frequent patterns from DNA sequence.
Our experiments show that this improvement can dramatically reduce the number of frequent patterns checked for maximality.
Speckled immunofluorescence of both coarse and fine type was the most frequent pattern of ANA, accounting for 79% (57/72) ANA positive cases.
Frequent patterns are different for each network.
The search starts from small patterns of 1 node, proceeds by incrementing the subgraph size 1 edge at a time, and stops when no frequent patterns are discovered for a certain edge level.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com