The modeling procedure consists of four parts as model preparation, stress analysis, failure evaluation and degradation rules.
According to CRISP-DM [4], the process has several steps: business understanding, data understanding, data preparation, modeling, evaluation and deployment.
A standardized data mining process is explained in detail that involves a number of phases including business understanding, data understanding, data preparation, modeling, evaluation, and deployment.
The data mining procedures used for data preparation, modeling and simulation, which include statistics, methods of artificial intelligence and hybrid models in form of cascade committee machines, are described.
The life cycle of CRISP-DM includes six phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment.
San Miguel has stated that she is refraining from focusing full time on her entertainment career due to her ongoing studies, though she continues to work on her figure in preparation for modeling opportunities.
The initial step in the homology modeling process was careful preparation of a multiple sequence alignment of each Vsp target with the crystal structures, guided by inspection of the superimposed models using molecular graphics.
SSH contributed content expertise, oversaw dataset preparation for modeling, and helped draft the manuscript.
All authors contributed to the design, conduct and analysis of the study, modeling decisions, and the preparation of the manuscript.
JRZ conceived of the study design, oversaw data collection, performed the data preparation for modeling and helped draft the manuscript.
