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Methodological framework for data processing based on the Data Science paradigm

Abstract:

This paper describes the steps for achieving data processing in a methodological context, which take part of a methodology previously proposed by the authors for developing Data Mining (DM) applications, called 'Methodology for the development of data mining applications based on organizational analysis'. The methodology has three main phases: Knowledge of the Organization, Preparation and treatment of data, and finally, development of the DM application. We will focus on the second phase. The main contribution of this proposal is the design of a methodological framework of the second phase based on the paradigm of Data Science (DS), in order to get what we have called 'Vista Minable Operacional' (VMO) from the 'Vista Minable Conceptual' (VMC). The VMO built is used in the third phase. This methodological framework has been applied in two different cases of study, oil and public health.