MINERAÇÃO DE DADOS EM PROL DE ATIVIDADES FÍSICAS

Abstract

We did this work based on the article Peixoto (2017) "Data Mining in Favor of Physical Activities". We present and publish the same in event VI CEICT (VI Congresso Estadual de Iniciação Científica e Tecnológica do IF Goiano), held at Urutaí campus in 2017. The work consisted in the use of data mining and mobile technologies for an application proposal, which can help people to have healthier habits / lives, and face the main difficulty, which is to replace one old habit with another better and not give up. The proposal is to raise data so that it can be used in an application that seeks to help the individual to build new habits, doing exercises that he likes or that are better accepted by him, also helping in the feeding. With this, the transition to a healthy life becomes easier and, after some time, good habits are created. For data collection, a field survey, anamnesis, was carried out with practitioners of various physical activities. We chose the Weka program to process and extract the data in view of the experience of using the team, as well as the usability and reliability of the results of this tool - already demonstrated in many articles studied. Soon after, we did an analysis accompanied by a professional of the area, Professor Esp. Freddy Enrique Ramos Guimarães. With this, we obtained the information to develop a system that is able to make decisions in a more appropriate way for the practitioner of physical activities.