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Patterns per text database in the study case.

NIAID Data Ecosystem2026-03-08 收录

频繁模式挖掘

参数敏感性分析

数据链接：

https://figshare.com/articles/dataset/_Patterns_per_text_database_in_the_study_case_/1058696 数据链接链接失效反馈

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资源简介：

Number of patterns obtained with each variation of the study case database and each frequency threshold used.

应用场景：

创建时间：

2014-06-16

参数敏感性分析

多尺度模型输入重要性

A rank is assigned to each parameter according to how much it impacts the model output total variance. Parameter groups are assigned a score given by the sum of the ranks of their member parameters. T

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Sensitivity of the probability of entering in competence.

参数敏感性分析

行为学统计建模

This table shows the sensitivity of the probability of entering in competence, as each of the indicated parameter varies, when the remaining parameters are set to their nominal values given in Table 1

Figshare2015-12-02 更新30

The number of maximum frequent itemsets (MFI) and the number of merged biclusters (MB) when we changed MIN_ROW from 15 to 45.

频繁模式挖掘

双向聚类

The number of maximum frequent itemsets (MFI) and the number of merged biclusters (MB) when we changed MIN_ROW from 15 to 45.

Figshare2015-12-02 更新10

Model parameters that have been included in the sensitivity analysis, their upper and lower bounds and their probability density functions.

参数敏感性分析

不确定性量化

Model parameters that have been included in the sensitivity analysis, their upper and lower bounds and their probability density functions.

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Appendix C. Elasticity values and life-stage simulation analysis regression coefficients for each parameter in the overall model.