Please use this identifier to cite or link to this item: https://repository.usc.edu.co/handle/20.500.12421/2898
Title: Applying Data Mining in Urban Environments Using the Roles Model Approach
Authors: Burguillo, Juan Carlos
Zúñiga Cañón, Claudia Liliana
Keywords: Urban computing;Data mining;Decision tree;Weka
Issue Date: 12-Nov-2014
Publisher: Springer Verlag
Abstract: One of the main challenges in urban computing is to interpret the behaviors of the individuals, and so to provide services for suppling their needs. Data mining offers very powerful tools that can be used to analyze data in urban environments. Our research uses the UrbanContext roles model to identify the states of the individuals within urban environments. Then, it applies supervised classification data mining techniques to the results obtained, and uses decision trees in order to facilitate the analysis of the individuals’ behavior. Finally, we present the prediction results obtained from a study made about the roles that individuals adopt depending on their context. From these data we successfully predict the different types of services we can offer in an urban environment.
URI: https://repository.usc.edu.co/handle/20.500.12421/2898
https://doi.org/10.1007/978-3-319-12027-0_56
ISSN: 03029743
Appears in Collections:Artículos Científicos

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