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Found in carps and similar fishes, they are thin, large, round or oval, and arranged in an overlapping pattern; growth rings are evident on the free edges.
Hsu, PrefixSpan: Mining sequential patterns efficiently by prefixprojected pattern growth, in: Int'l Conf.
These findings indicate opportunities for the more accurate projection of urban pattern growth through the use of dynamic models with appropriately designed zoning scenarios.
Extensive values of the friction force were acquired, respectively exhibiting the trends of inverted parabola variation, linear pattern growth and saturation period with the increased surface roughness.
Apriori [29], frequent pattern growth (FP-growth) [30] and Eclat [31] are the three most widely used basic algorithms of frequent itemset mining, which have been used for the first and major time consuming step.
Frequent Pattern Growth (FP-growth) approach, which is one of the algorithms of Association Rule Mining (ARM), is applied to an actual prescriptions database of a central fill pharmacy to study the associations within the prescribed drug regime.
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Here we introduce PASSion, a pattern growth-based splice site detection pipeline developed only for the analysis of paired-end RNA-Seq reads.
They can be generally categorized as either level-wise or pattern-growth approaches.
This algorithm is a parallel implementation of FP-Growth (Frequent Pattern-Growth) algorithm based on MapReduce paradigm.
The best known are: Apriori [1], which uses a "candidate generation-and-test" (CGT); and the FP-growth [2], which adopts the pattern-growth (PG) paradigm.
DiSE-growth, a tree-based (pattern-growth) algorithm for mining DIverse Social Entities, is proposed and experimentally assessed in this paper.
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