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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Título traducido de la contribuciónParking garage management using classification techniques, fuzzy logic and evolutionary algorithms
Idioma originalEspañol
Título de la publicación alojadaProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
EditorialLatin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)9780999344316
DOI
EstadoPublicada - 2018
Evento16th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology - Lima, Perú
Duración: 18 jul. 201820 jul. 2018

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volumen2018-July
ISSN (versión digital)2414-6390

Conferencia

Conferencia16th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
País/TerritorioPerú
CiudadLima
Período18/07/1820/07/18

Palabras clave

  • Data Mining
  • Evolutionary Algorithms
  • Fuzzy Logic
  • Parking
  • Potential clients
  • Space management

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