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Next, we introduce the dataset and describe the preprocessing steps.
In this section, we introduce the dataset from the MyExperiment scientific workflow repository and our algorithm for automated composition based on the Graphplan planning algorithm.
We hope that this new organization brings more balance to the manuscript and helps to better introduce the dataset before actually switching to secondary analyses.
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We first introduce the datasets and experimental settings.
In this section, we first introduce the datasets used for performance evaluation.
In this section, we introduce the datasets used in the experiments and the experimental design.
The way to introduce the datasets in WEKA is using the Attribute-Relation File Format (ARFF) files.
In this section we introduce the datasets that have been used to evaluate our approach: (i) an energy consumption dataset and (ii) a mobile phone records dataset.
In this section, we first use IDRN to detect communities with partially cluster labels to show the 'community aware' characteristic it has, then we introduce the datasets and the evaluation metrics for multi-label classification tasks.
First, we introduce the datasets and 1-D conductivity profiles for the upper mantle, which are newly obtained for two areas: the northwest and the southeast of the Shatsky Rise.
Then Sect. 3 introduces the dataset utilized in this research.
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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