Authors:
Leonardo R. De Carvalho
1
;
Felipe S. Lopes
1
;
Jefferson Chaves
1
;
Marcos C. Lima
2
;
Flávio E. Gomes De Deus
3
;
Aletéia P. F. A. von Paungarthem
1
and
Flavio De Barros Vidal
1
Affiliations:
1
Department of Computer Science, University of Brasilia, Brasilia, DF, Brazil
;
2
Department of Federal Police, Brasilia, DF, Brazil
;
3
Department of Electrical Engineering, University of Brasilia, Brasilia, DF, Brazil
Keyword(s):
Machine Learning, High Performance Computing, Government of Brazil, Official Gazette.
Abstract:
Brazil publishes region information, public tenders for the hire of civil servants, and also government contracts with companies in its Official Gazettes. All this volume of information can contain interesting relationships that reveal unique characteristics of the government, such as the effectiveness of public policies and even the existence of illegal schemes. Establishing these relationships is not a trivial task and requires great effort. Therefore, this work proposes the Deep Vacuity platform, which, by using a High-Performance Computing architecture along with Machine Learning techniques, can collect, depurate, consolidate and analyze the data, offering a friendly interface for decision-makers.