Privacy-aware data gathering for urban analytics

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

Research output: Chapter in Book/Report/Conference proceedingChapter

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.
Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
Pages61-75
Number of pages15
ISBN (Electronic)9783319905952
DOIs
StatePublished - 1 Jan 2018
EventCommunications in Computer and Information Science -
Duration: 1 Jan 2019 → …

Publication series

NameCommunications in Computer and Information Science
Volume795
ISSN (Print)1865-0929

Conference

ConferenceCommunications in Computer and Information Science
Period1/01/19 → …

Keywords

  • Data collection
  • Open data
  • Privacy
  • Urban analytics

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