The traditional approach to data analysis that involves well informed testing of different models cannot make justice of the richness of the these new datasets and, in some sense, of the intrinsically peculiar type of knowledge therein contained.
We show here how to obtain deeper insight into the comparative performance of learning methods through a complementary parametric approach to data analysis.
Finally, a summary of pharmacological values on which the AOT depends is presented and a new statistical approach to data analysis method proposed.
A major aspect of this study is an intersectional approach to data analysis.
It is also less restrictive and far more appropriate for an inductive approach to data analysis.
In contrast, the QUICS method enables a chemo-centric approach to data analysis.
Sparse coding is an emerging spectral approach to data analysis (Elad 2010).
Overall we used an inductive approach to data analysis, which was both systematic and iterative.
No matter what you call your approach to data analysis (statistics, data mining, data science…), you can get top-notch guidance for planning and executing the work by following the CRISP-DM process.
A statistical approach to data analysis is not feasible when dealing with such a database with large variations in data density and distribution.
