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Segmentation of indoor customer paths using intuitionistic fuzzy clustering: Process mining visualization

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Segmentation of indoor customer paths using intuitionistic fuzzy clustering: Process mining visualization

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Dogan, O.; Oztaysi, B.; Fernández Llatas, C. (2020). Segmentation of indoor customer paths using intuitionistic fuzzy clustering: Process mining visualization. Journal of Intelligent & Fuzzy Systems. 38(1):675-684. https://doi.org/10.3233/JIFS-179440

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Título: Segmentation of indoor customer paths using intuitionistic fuzzy clustering: Process mining visualization
Autor: Dogan, Onur Oztaysi, Basar Fernández Llatas, Carlos
Fecha difusión:
Resumen:
[EN] There are some studies and methods in the literature to understand customer needs and behaviors from the path. However, path analysis has a complex structure because the many customers can follow many different paths. ...[+]
Palabras clave: Fuzzy c-means clustering , Intuitionistic fuzzy sets , Process mining , Customer behaviors , Indoor locations
Derechos de uso: Cerrado
Fuente:
Journal of Intelligent & Fuzzy Systems. (issn: 1064-1246 )
DOI: 10.3233/JIFS-179440
Editorial:
IOS Press
Versión del editor: https://doi.org/10.3233/JIFS-179440
Título del congreso: 13th International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making
Lugar del congreso: Belfast, North Ireland
Fecha congreso: Agosto 21-24,2018
Tipo: Artículo Comunicación en congreso

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