Artificial Neural Networks, Multiple Linear Regression and Decision Trees Applied to Labor Justice

Genival Pavanelli, Maria Teresinha Arns Steiner, Alessandra Memari Pavanelli, Deise Maria Bertholdi Costa

2013

Abstract

This paper aims to predict the duration of lawsuits for labor users of the justice system. Thus, we intend to provide forecasts of the duration of a labor lawsuit that gives subsidies to establish an agreement between the parties involved in the processes. The proposed methodology consists in applying and comparing three techniques of the Mathematical Programming area, Artificial Neural Networks (ANN), Multiple Linear Regression (MLR) and Decision Trees in order to obtain the best possible performance for the forecast. Therefore, we used the data from the Labor Forum of São José dos Pinhais, Paraná, Brazil, to do the training of various ANNs, the MLR and the Decision Tree. In several simulations, the techniques were used directly and in others, the Principal Component Analysis (PCA) and / or the coding of attributes were performed before their use in order to further improve their performance. Thus, taking up new data (processes) for which it is necessary to predict the duration of the lawsuit, it will be possible to make up conditions to "diagnose" its length preliminarily at its course. The three techniques used were effective, showing results consistent with an acceptable margin of error.

Paper Citation

in Harvard Style

Pavanelli G., Teresinha Arns Steiner M., Memari Pavanelli A. and Maria Bertholdi Costa D. (2013). Artificial Neural Networks, Multiple Linear Regression and Decision Trees Applied to Labor Justice . In Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2013) ISBN 978-989-8565-77-8, pages 443-450. DOI: 10.5220/0004517504430450

in Bibtex Style

@conference{ncta13,
author={Genival Pavanelli and Maria Teresinha Arns Steiner and Alessandra Memari Pavanelli and Deise Maria Bertholdi Costa},
title={Artificial Neural Networks, Multiple Linear Regression and Decision Trees Applied to Labor Justice},
booktitle={Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2013)},
year={2013},
pages={443-450},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004517504430450},
isbn={978-989-8565-77-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2013)
TI - Artificial Neural Networks, Multiple Linear Regression and Decision Trees Applied to Labor Justice
SN - 978-989-8565-77-8
AU - Pavanelli G.
AU - Teresinha Arns Steiner M.
AU - Memari Pavanelli A.
AU - Maria Bertholdi Costa D.
PY - 2013
SP - 443
EP - 450
DO - 10.5220/0004517504430450