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This data mining approach was tested for the calibration of a CA model to simulate land-use changes in a portion of the Elbow River watershed adjacent to the City of Calgary, in southern Alberta, Canada.
A genome mining approach was used to search for enoate reductase that might be able to asymmetrically reduce (E/Z -citral to (R)-citronE/Z -citral
A data mining approach was conducted to gather the similarities of these substances in terms of physico-chemical descriptors and to delimit them from a generic dataset of drug-like molecules.
In order to generate an independent data set of the repertoire of G proteins and RGS proteins, a data mining approach was taken using BLAST program and HMM based searches.
In this study, a text mining approach was used to identify the disease-related genes of T2D and HT.
Testing for interaction effects using a machine learning and data mining approach was conducted in a MDR software [ 43].
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A simulation analysis of the proposed data mining approach is utilized to demonstrate its efficacy.
The computational results show that a data mining approach is a better prediction technique for this data.
The UDP-growth mining approach is also designed to find the up-to-date patterns from the UDP tree.
Finally, data mining approach is proposed to discover the frequent predicates of e-services and the frequent orderings between e-services.
In this paper, a data mining approach is used to show the attributes that predict the defective state of software modules.
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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