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Healthy and safety food issues are more and more becoming the purchasing process core of conscious consumer. “Type 1” wheat flour means higher protein and ash content. The purpose of this paper is to investigate the attributes usually referred to the characteristics of wheat flour known to consumers and at implementing a predictive model of purchasing that allows to make correct decisions without the necessary experience of a real human expert.

In order to investigate the research aims of the paper, an online survey was carried out and conducted by means of the Google Forms in the detection time January-April 2016. The online survey collected responses from 467 Italian respondents asked to give feedback about their buying habits of various types of flour. The responses were analyzed through a data mining approach. This paper implements predictive analytics to …