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.
Translated title of the contribution | Parking garage management using classification techniques, fuzzy logic and evolutionary algorithms |
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Original language | Spanish |
Title of host publication | Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology |
Publisher | Latin American and Caribbean Consortium of Engineering Institutions |
ISBN (Electronic) | 9780999344316 |
DOIs | |
State | Published - 2018 |
Externally published | Yes |
Event | 16th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology - Lima, Peru Duration: 18 Jul 2018 → 20 Jul 2018 |
Publication series
Name | Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology |
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Volume | 2018-July |
ISSN (Electronic) | 2414-6390 |
Conference
Conference | 16th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology |
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Country/Territory | Peru |
City | Lima |
Period | 18/07/18 → 20/07/18 |
Bibliographical note
Funding Information:[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.
Publisher Copyright:
© 2018 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.