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Erschienen in:
A Tool for Subjective and Interactive Visual Data Exploration Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Intelligent Urban Data Monitoring for Smart Cities

verfasst von : Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O’Brien

Erschienen in: Machine Learning and Knowledge Discovery in Databases

Verlag: Springer International Publishing

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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.

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Metadaten
Titel
Intelligent Urban Data Monitoring for Smart Cities
verfasst von
Nikolaos Panagiotou
Nikolas Zygouras
Ioannis Katakis
Dimitrios Gunopulos
Nikos Zacheilas
Ioannis Boutsis
Vana Kalogeraki
Stephen Lynch
Brendan O’Brien
Copyright-Jahr
2016
Buch
Machine Learning and Knowledge Discovery in Databases

Print ISBN: 978-3-319-46130-4

Electronic ISBN: 978-3-319-46131-1

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-46131-1_23

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