Mining Urban Data (Part C)

Gennady Andrienko, Dimitrios Gunopulos, Yannis Ioannidis, Vana Kalogeraki, Ioannis Katakis, Katharina Morik, Olivier Verscheure

Research output: Contribution to journalEditorialpeer-review

3 Citations (Scopus)

Abstract

Modern cities generate a flood of rich and varied data. New information sources like public transport and wearable devices provide opportunities for novel applications that will improve citizens׳ quality of life by reducing transportation time, enhancing city planning, and improving air quality to name a few applications. From a data science perspective, data emerging from smart cities give rise to a lot of challenges that constitute a new interdisciplinary field of research. This article introduces the third part of a special issue on the topic ‘Mining Urban Data’ published in the journal Information Systems.

Original languageEnglish
Pages (from-to)219-220
Number of pages2
JournalInformation Systems
Volume64
DOIs
Publication statusPublished - 1 Mar 2017

Keywords

  • Data management
  • Data mining
  • Sensor networks
  • Smart cities
  • Social networks
  • Urban data

Fingerprint

Dive into the research topics of 'Mining Urban Data (Part C)'. Together they form a unique fingerprint.

Cite this