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Motivated by this idea, this paper introduces a weighted fuzzy association rules mining approach to discovering correlated alarm sequences.
In this paper, we propose a utility based itemset mining approach to overcome this limitation.
In this paper, we have presented a concern mining approach to be used in the context of architecture-driven modernization (ADM).
Results: In this study, we applied an association rule mining approach to the identification of promising secondary phenotype candidates.
In this study, we applied an association rule mining approach to mine secondary phenotypes and computationally verify their biological validity using two automated and a limited manual evaluation.
In previous work, we applied a part mining approach to build a set of 20 TetR homologues and characterized their orthogonality in Escherichia coli.
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The established framework enables the construction of continuous pediatric percentile charts for laboratory analytes by applying a data-mining approach to clinical databases.
However, there are two major omissions in existing work: firstly, a unified framework in the process of product conceptualization has not been well addressed; and secondly, it is imperative to attain an effective data-mining approach to support the product conceptualization process.
HapConstructor offers a data-mining approach to association analyses, allowing automatic and comprehensive construction of multi-locus SNP-set tests.
This tool provides a flexible data-mining approach to identifying gene gene effects that otherwise is currently unavailable.
Collating articles associated to latently expressed TF genes, we used a simple text-mining approach to group TF genes by previous research (see Additional file 8).
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