Intelligent Urban Data Monitoring for Smart Cities

  • Nikolaos Panagiotou
  • Nikolas Zygouras
  • Ioannis Katakis
  • Dimitrios Gunopulos
  • Nikos Zacheilas
  • Ioannis Boutsis
  • Vana Kalogeraki
  • Stephen Lynch
  • Brendan O’Brien
Conference paper

DOI: 10.1007/978-3-319-46131-1_23

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9853)
Cite this paper as:
Panagiotou N. et al. (2016) Intelligent Urban Data Monitoring for Smart Cities. In: Berendt B. et al. (eds) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2016. Lecture Notes in Computer Science, vol 9853. Springer, Cham

Abstract

Urban data management is already an essential element of modern cities. The authorities can build on the variety of automatically generated information and develop intelligent services that improve citizens daily life, save environmental resources or aid in coping with emergencies. From a data mining perspective, urban data introduce a lot of challenges. Data volume, velocity and veracity are some obvious obstacles. However, there are even more issues of equal importance like data quality, resilience, privacy and security. In this paper we describe the development of a set of techniques and frameworks that aim at effective and efficient urban data management in real settings. To do this, we collaborated with the city of Dublin and worked on real problems and data. Our solutions were integrated in a system that was evaluated and is currently utilized by the city.

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Nikolaos Panagiotou
    • 1
  • Nikolas Zygouras
    • 1
  • Ioannis Katakis
    • 1
  • Dimitrios Gunopulos
    • 1
  • Nikos Zacheilas
    • 2
  • Ioannis Boutsis
    • 2
  • Vana Kalogeraki
    • 2
  • Stephen Lynch
    • 3
  • Brendan O’Brien
    • 3
  1. 1.National and Kapodistrian University of AthensAthensGreece
  2. 2.Athens University of Economics and BusinessAthensGreece
  3. 3.Dublin City CouncilDublinIreland

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