Privacy-aware data gathering for urban analytics

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

doi:10.1007/978-3-319-90596-9_5

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 congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

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 original	Inglés
Título de la publicación alojada	Information Management and Big Data
Subtítulo de la publicación alojada	4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers
Páginas	61-75
Número de páginas	15
ISBN (versión digital)	9783319905952
DOI	https://doi.org/10.1007/978-3-319-90596-9_5
Estado	Publicada - 1 ene. 2018
Evento	Communications in Computer and Information Science - Duración: 1 ene. 2019 → …

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	795
ISSN (versión impresa)	1865-0929

Conferencia

Conferencia	Communications in Computer and Information Science
Período	1/01/19 → …

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura
ODS 11: Ciudades y comunidades sostenibles
ODS 13: Acción por el clima
ODS 17: Alianzas para lograr los objetivos

Palabras clave

Data collection
Open data
Privacy
Urban analytics

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10.1007/978-3-319-90596-9_5

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Nunez-del-Prado, M., Esposito, B., Luna, A., & Morzan, J. (2018). Privacy-aware data gathering for urban analytics. En Information Management and Big Data: 4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers (pp. 61-75). (Communications in Computer and Information Science; Vol. 795). https://doi.org/10.1007/978-3-319-90596-9_5

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title = "Privacy-aware data gathering for urban analytics",

abstract = "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.",

keywords = "Data collection, Open data, Privacy, Urban analytics, Data collection, Open data, Privacy, Urban analytics",

author = "Miguel Nunez-del-Prado and Bruno Esposito and Ana Luna and Juandiego Morzan",

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doi = "10.1007/978-3-319-90596-9\_5",

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Nunez-del-Prado, M, Esposito, B, Luna, A & Morzan, J 2018, Privacy-aware data gathering for urban analytics. En Information Management and Big Data: 4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers. Communications in Computer and Information Science, vol. 795, pp. 61-75, Communications in Computer and Information Science, 1/01/19. https://doi.org/10.1007/978-3-319-90596-9_5

Privacy-aware data gathering for urban analytics. / Nunez-del-Prado, Miguel; Esposito, Bruno; Luna, Ana et al.
Information Management and Big Data: 4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers. 2018. p. 61-75 (Communications in Computer and Information Science; Vol. 795).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AB - 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.

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KW - Open data

KW - Privacy

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KW - Open data

KW - Privacy

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Privacy-aware data gathering for urban analytics

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Conferencia

ODS de las Naciones Unidas

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