Understanding Legislative Activities in Brazil: Analysis of Open Data from the Chamber of Deputies

Milena Carneiro Rios de Oliveira, Anna Paula de Sousa Parente Rodrigues

Chamber of Deputies, CRISP-DM, Data Mining, K-Means.

The growing evolution of technological means as gears of modern life become responsible for the constant generation of data, which in turn imply the most diverse aspects of society. In this sense, data analysis is a powerful device when it comes to predicting and describing information, in order to improve decision-making. Thus, the insertion of open data in the space of public management enables greater transparency with the citizen, making social control and the consolidation of democracy possible. Based on this bias, the present study aims to implement Data Mining techniques on the open data of the Chamber of Deputies, aiming to broaden the understanding of legislative activities and present the knowledge discovered from the relationships and patterns found in the datasets. Therefore, this is an exploratory study, based on the CRISP-DM methodology, covering the steps of understanding the business, understanding and preparing data, modeling, evaluation and implementation, corresponding to post-processing.

10.22161/ijaers.123.1

10.22161/ijaers.123.1