Privacy-aware data gathering for urban analytics

Miguel Nunez-del-Prado, Bruno Esposito, Ana Luna, Juandiego Morzan

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


Nowadays, there are a mature set of tools and techniques for data analytics, which help Data Scientists to extract knowledge from raw heterogeneous data. Nonetheless, there is still a lack of spatiotemporal historical dataset allowing to study everyday life phenomena, such as vehicular congestion, press influence, the effect of politicians comments on stock exchange markets, the relation between food prices evolution and temperatures or rainfall, social structure resilience against extreme climate events, among others. Unfortunately, few datasets are combining from different sources of urban data to carry out studies of phenomena occurring in cities (i.e., Urban Analytics). To solve this problem, we have implemented a Web crawler platform for gathering a different kind of available public datasets.
Idioma originalInglés
Título de la publicación alojadaInformation Management and Big Data
Subtítulo de la publicación alojada4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers
Número de páginas15
ISBN (versión digital)9783319905952
EstadoPublicada - 1 ene. 2018
EventoCommunications in Computer and Information Science -
Duración: 1 ene. 2019 → …

Serie de la publicación

NombreCommunications in Computer and Information Science
ISSN (versión impresa)1865-0929


ConferenciaCommunications in Computer and Information Science
Período1/01/19 → …

Palabras clave

  • Data collection
  • Open data
  • Privacy
  • Urban analytics


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