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The malware detection approaches were compared and analyzed according to various essential factors such as classification approaches, data analysis methods, the number of the used dataset, accuracy factor and case study analysis.
In studies looking at multiple biomarkers or using proteomic, genomic, or other multi-analyte approaches, data analysis and study design are critical because of the potential for false-positive discovery in these studies; validation using multiple sample sets is essential.
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These factors include case-study method, classification or clustering approach, data analysis method, and data set type and accuracy factor.
These factors include case-study method, classification or clustering approach, data analysis method, used data set, total number of dataset and accuracy factor.
In this approach, data analysis is "a matter of giving meaning to first impressions as well as to final compilations" (Stake 1995, p. 71).
According to McCracken's well-established comprehensive analysis approach data analysis comprised the following sequential procedures.
KB carried out the design of conceptual approach, data analysis and drafted the initial manuscript.
In such an untargeted approach, data analysis and interpretation can be much more time-consuming than the actual measurement itself.
Using an inductive approach, data analysis focused on eliciting themes concerning barriers and enablers to women's physical activity participation.
Similarly, by using ID approach, data analysis is oriented towards the development of useful findings for practice [ 32].
The sampling was based on the maximum variant approach; data analysis was carried out by content analysis, with the constant comparative method.
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