Gestión de aparcamientos de cocheras utilizando técnicas de clasificación, lógica difusa y algoritmos evolutivos

Mariluna Apaza-Luque; Juan Manotupa-Gil; Fidel Salas-Flores; José Sulla-Torres

doi:10.18687/LACCEI2018.1.1.209

Gestión de aparcamientos de cocheras utilizando técnicas de clasificación, lógica difusa y algoritmos evolutivos

Translated title of the contribution: Parking garage management using classification techniques, fuzzy logic and evolutionary algorithms

Mariluna Apaza-Luque, Juan Manotupa-Gil, Fidel Salas-Flores, José Sulla-Torres

Professional School of Systems Engineering

Universidad Católica de Santa María

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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
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	https://doi.org/10.18687/LACCEI2018.1.1.209
State	Published - 2018
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
Volume	2018-July
ISSN (Electronic)	2414-6390

Conference

Conference	16th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Country/Territory	Peru
City	Lima
Period	18/07/18 → 20/07/18

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10.18687/LACCEI2018.1.1.209

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Apaza-Luque, M., Manotupa-Gil, J., Salas-Flores, F., & Sulla-Torres, J. (2018). Gestión de aparcamientos de cocheras utilizando técnicas de clasificación, lógica difusa y algoritmos evolutivos. In Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2018-July). Latin American and Caribbean Consortium of Engineering Institutions. https://doi.org/10.18687/LACCEI2018.1.1.209

Apaza-Luque, Mariluna ; Manotupa-Gil, Juan ; Salas-Flores, Fidel et al. / Gestión de aparcamientos de cocheras utilizando técnicas de clasificación, lógica difusa y algoritmos evolutivos. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology. Latin American and Caribbean Consortium of Engineering Institutions, 2018. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

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title = "Gesti{\'o}n de aparcamientos de cocheras utilizando t{\'e}cnicas de clasificaci{\'o}n, l{\'o}gica difusa y algoritmos evolutivos",

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.",

keywords = "Data Mining, Evolutionary Algorithms, Fuzzy Logic, Parking, Potential clients, Space management",

author = "Mariluna Apaza-Luque and Juan Manotupa-Gil and Fidel Salas-Flores and Jos{\'e} Sulla-Torres",

note = "Publisher Copyright: {\textcopyright} 2018 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.; 16th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology ; Conference date: 18-07-2018 Through 20-07-2018",

year = "2018",

doi = "10.18687/LACCEI2018.1.1.209",

language = "Espa{\~n}ol",

series = "Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology",

publisher = "Latin American and Caribbean Consortium of Engineering Institutions",

booktitle = "Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology",

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Apaza-Luque, M, Manotupa-Gil, J, Salas-Flores, F & Sulla-Torres, J 2018, Gestión de aparcamientos de cocheras utilizando técnicas de clasificación, lógica difusa y algoritmos evolutivos. in Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, vol. 2018-July, Latin American and Caribbean Consortium of Engineering Institutions, 16th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, Lima, Peru, 18/07/18. https://doi.org/10.18687/LACCEI2018.1.1.209

Gestión de aparcamientos de cocheras utilizando técnicas de clasificación, lógica difusa y algoritmos evolutivos. / Apaza-Luque, Mariluna; Manotupa-Gil, Juan; Salas-Flores, Fidel et al.
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology. Latin American and Caribbean Consortium of Engineering Institutions, 2018. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Gestión de aparcamientos de cocheras utilizando técnicas de clasificación, lógica difusa y algoritmos evolutivos

AU - Apaza-Luque, Mariluna

AU - Manotupa-Gil, Juan

AU - Salas-Flores, Fidel

AU - Sulla-Torres, José

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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KW - Evolutionary Algorithms

KW - Fuzzy Logic

KW - Parking

KW - Potential clients

KW - Space management

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M3 - Contribución a la conferencia

AN - SCOPUS:85057488690

T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

BT - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

PB - Latin American and Caribbean Consortium of Engineering Institutions

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Y2 - 18 July 2018 through 20 July 2018

ER -

Apaza-Luque M, Manotupa-Gil J, Salas-Flores F, Sulla-Torres J. Gestión de aparcamientos de cocheras utilizando técnicas de clasificación, lógica difusa y algoritmos evolutivos. In Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology. Latin American and Caribbean Consortium of Engineering Institutions. 2018. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). doi: 10.18687/LACCEI2018.1.1.209

Gestión de aparcamientos de cocheras utilizando técnicas de clasificación, lógica difusa y algoritmos evolutivos

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