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Our work propounds a data-driven methodological framework to derive relevant agricultural landscape rearrangements enhancing populations of beneficial organisms regulating pests.
Unlike classical modelling approaches, the data-driven methodological concept used in this analysis provides tools for handling both linear and non-linear covariates within the same framework.
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There is potential for future methodological advancements in data-driven gating to incorporate iterative steps that will optimize all parameters during processing, making the algorithm more appropriate for use in diverse populations, possibly using the concept of a motion score [19].
In such a context, data-driven approaches hold promise of accurately dealing with big data methodological issues, and doing so might have a significant impact on the improvement in diagnosis, monitoring and prognostication of ICU processes.
Table 1 Data-driven analysis and related terminology Big data Data sets with size/complexity beyond the capacity of commonly used methodological approaches to capture, manage and process data.
This data-driven approach of the analysis of MRI findings is novel in LBP and our proof-of-concept study shows that this methodological approach produces plausible results suitable for further investigation.
The increasing number of publications focused on multivariate and data-driven analysis of brain network dynamics is a clear indication that researchers embrace this challenge, on both a conceptual and a methodological level.
Fama's work was largely data-driven.
This is a data-driven industry.
She stresses that she is "data-driven".
Data-driven baseball has produced surprising results.
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