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However, model extraction and evaluation times should not increase, which demands for fast and still accurate substrate model extraction tools.
If DBLModeller was to be used for this purpose, we envisage that it would be an "add-on" to other model extraction tools (e.g., [32]).
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Tailoring SQL support to the language constructs used in schemas is a time-effective approach for developing a structure model extraction tool.
Automating the extraction of cloud cost models would reduce error and time, and prevent lock-in [69, 70], so another area of future work is the creation of a model extraction approach and tool for our cloud cost models.
Wavelet-based multiscale representation of data has been shown to be a powerful data analysis, modeling, and feature extraction tool due to its ability to provide efficient separation of deterministic and stochastic features.
Table 3 Model extraction times using DBLModeller and Gra2MoL Schema Size (KLOC) Tool Mean (Secs).
The named entity recognition and event extraction tools used by the CellFinder curator, for instance, were based on dictionaries and statistical models focussed on cells and genes.
A brief overview of multipath extraction tools follows and then a description of our multipath extraction tool.
LEH and AS developed Java-based GMAP data extraction tools.
We evaluated several popular machine learning models for our two-tier system including Support Vector Machine (SVM), Naive Bayesian (NB), Decision Tree (DT), and k-Nearest Neighbor (kNN), in addition to the two baseline PPI extraction tools.
We have considered several state of the art mutation extraction tools in this study, as introduced in the Text mining tools for genetic variant extraction section above.
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