MACHINE LEARNING TESTS IN THE TCE MANAGEMENT SURVEILLANCE SYSTEM DATABASES
DOI:
https://doi.org/10.48090/ciki.v1i1.898Keywords:
Electronic Government, Artificial intelligence, Data Mining, Machine Learning, Fiscal Responsibility LawAbstract
Motivated by the interest in making forecasts about the fulfillment of the Santa Catarina municipalities regarding the targets determined by the Fiscal Responsibility Law, this research, applied, quantitative and with an inductive approach, use data mining techniques and regression analysis to develop its object, which considered the net current revenue as a study variable and statistical comparison, using forecasting algorithms. The selected techniques showed that the executives' personnel expenses are close to 50% and that, among the algorithms analyzed, the best approach was obtained by RandomForest, which presented a relative absolute error of 5.1904%. These results showed that it is feasible to predict whether a municipality will exceed the targets imposed by law, information that conditions the Audit Courts to act proactively, making inspection activities more effective
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 International Congress of Knowledge and Innovation
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
DECLARATION OF ASSIGNMENT AND TRANSFER OF PATRIMONIAL RIGHTS ON ARTICLE PUBLISHED IN THE CIKI PROCEEDINGS AND AUTHORIZATION FOR PUBLICATION
The AUTHOR, according to the law n. 9.610 of February 19th, 1998, hereby declares to whomsoever may concern, that it assigns and transfers, in a universal, definitive, irreversible, exclusive and gratuitous manner, all of its author's economic rights on the article submitted to the International Congress of Knowledge and Innovation - ciki.
The AUTHOR guarantees:
- That the article is original, except for the citations of other published works, provided that the limitations expressed in articles 46 and 47 of Law 9.610 of February 19, 1998 are observed;
- That the article does not contain any slanderous or defamatory statements and does not infringe any intellectual, commercial or industrial property rights of any third parties;
- To promptly compensate the International Congress of Knowledge and Innovation - ciKi for any indemnities, losses or expenses arising from the breach of the guarantees expressed in paragraphs 1 and 2, above.
With this assignment and transfer of the patrimonial rights referring to the author's right, the International Congress of Knowledge and Innovation - ciKi and its successors are free of any copyright payment to the AUTHOR or to their heirs or successors.
The AUTHOR further declares that the International Congress of Knowledge and Innovation - ciKi is fully authorized to use this article, in whole or in part, edited or complete, in Portuguese and in all other languages, in print, in Electronic means, internet, for commercial purposes or not, including distributing, adapting, creating derivative works, assigning rights to third parties in Brazil and / or abroad, including but not limited to: teaching, study and research; publication and dissemination; quote; use in general telecommunication means; audiovisual use in general, including all existing or future digital technologies, capable of storing and reproducing data.
The AUTHOR has guaranteed the moral rights over his article, including the binding of his name as author of the article object of this transfer.
The AUTHOR must always make a written request to the International Congress of Knowledge and Innovation - ciKi, when he intends to use his article, and is obliged to always insert the credit in the original publication, citing the bibliographic reference, complete and legible.
