Mineração de dados - um olhar instigante de possibilidades e aplicações para órgãos da administração pública federal

Abstract

The objective of this work is to describe the knowledge discovery process ( KDD ) and use it in this huge volume of data currently generated by social networks, robots and different organizational systems. The intention is to demonstrate the use of data mining without going into the deeper details of computationally applicable algorithms, but subsidize with theoretical tools, public servers and managers, so that they can understand the tasks and techniques of data mining and enable supporting the implementation and application of these techniques in their daily lives in order to increase effectiveness, scope and perspective of their activities. A qualitative research was carried out to analyze applications related to data mining found in the literature. As a result, a range of application possibilities for data mining techniques was identified, considering different contexts in federal public administration agencies.