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OLAP systems can provide to ecologists browsing in a large dataset.
They applied formal concept analysis (FCA) tools and techniques in visualising the contradictory data in a large dataset.
"Mining and visual analysis of contradictory data using ConTra" describes how ConTra deals with contradictory data in a large dataset.
It reliably discriminates near-native poses from widely spread decoys and retrieves active compounds diluted in a large dataset almost perfectly.
On the other hand, contradictory data existing in a large dataset can be difficult to visualise especially when traditional data analysis and visualisation tools are employed.
With the learning task in a large dataset, the number of hidden nodes within the network will therefore increase significantly, which eventually leads to an exponential rise in computational complexity.
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In total, a large dataset of 26,267 individual data points was used in analysis of variability and correlates for TC, SBP, and DBP.
In addition, a large dataset for the model legume M. truncatula containing 13,506 phosphorylation sites localized in 3926 phosphoproteins was available in MORE [ 13].
PCA is an unsupervised multivariate method that allows patterns, trends, groups and outliers in a large datasets to be easily identified.
In this study, variance components estimated in January 2009 based on a large dataset were used (unpublished).
This needs to be analyzed retrospectively and validated prospectively in a larger dataset to allow more robust conclusions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com