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Nonetheless, this procedure does not allow for a completely theory-driven approach of data generation and analysis as it is aimed at by grounded theory.
The random multinomial CPDs used by this approach of data generation were obtained by sampling from a Dirichlet distribution with hyper-parameters chosen by the methodc described in [ 20] with a corresponding Equivalent Sample Size (ESS) value of 10.
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An inductive approach enables depth and richness of data generation, and facilitates the description and development of a conceptual understanding in terms of social actors' motives, actions and accounts.
The term 'systems' refers to systems approaches, emphasizing a close integration of data generation with mathematical modeling [ 1- 3].
Our approach contains several interventions and uses both qualitative and quantitative methods of data generation and analysis.
The frequency of data generation in Big Data is fast.
In light of these reasons, and to incorporate the different forms of evidence flagged by them, a dual approach to data generation was adopted in this study.
An explorative, descriptive and open-ended approach to data generation was chosen in order to remain sensitive to the specific context and object of inquiry [ 26- 28].
It may be useful to exploit this feature and aim for a more rigorous approach to the analysis of LC-TOF MS data, wherein all the aspects of the data generation process that are relevant to the eventual analysis are understood and accounted for in a sense, an ab initio approach to data generation and analysis.
The use of a crowdsourcing approach in data generation on a webgis application means that the broader public is both involved in the creation of the data and in the discussion about the changes observed, which become visible when comparing old aerial photographs to the present landscape.
Unfortunately, this approach awaits further data generation as many of the important variables are not yet well-characterized across multiple taxa.
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