Title
Parking garage management using classification techniques, fuzzy logic and evolutionary algorithms
Other title
Gestión de aparcamientos de cocheras utilizando técnicas de clasificación, lógica difusa y algoritmos evolutivos.
Date Issued
2018
Access level
open access
Resource Type
conference paper
Author(s)
Publisher(s)
Latin American and Caribbean Consortium of Engineering Institutions
Abstract
This article presents the analysis of the data of a garage for light and heavy vehicles to extract enough information that allows us to manage the parking and can predict the number of free spaces in a certain day, as well as to find the potential customers. This was done using the KDD methodology, for data mining we use the WEKA, KEEL and Matlab tools that provide us with different algorithms such as J48, Bayes BayesNet, KNN-C, DT_GA-C and GANN-C to do the evaluation. As a result, the possible potential customers of the company were classified and, in addition, the best result is obtained with the J48 algorithm, which obtained 90.43% accuracy and an error percentage of 0.4553 using the GANN-C algorithm.
Volume
2018-July
Language
Spanish
OCDE Knowledge area
Sistemas de automatización, Sistemas de control
Subjects
Scopus EID
2-s2.0-85057488690
ISBN
9780999344316
Source
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Resource of which it is part
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN of the container
24146390
ISBN of the container
978-099934431-6
Sponsor(s)
[19] J. Alcalá-Fdez, M. J. del Jesus, J. M. Garrell, F. Herrera, C. Herbás, and L. Sánchez, “Proyecto KEEL: Desarrollo de una herramienta para el análisis e implementación de algoritmos de extracción de conocimiento evolutivos,” Tendencias la Minería Datos en España, Red Española Minería Datos y Aprendiz., pp. 413–424, 2004.
Sources of information:
Directorio de Producción Científica
Scopus