@article{3071429,
    title = "Mining Urban Data (Part B)",
    author = "Andrienko, G. and Gunopulos, D. and Ioannidis, Y. and Kalogeraki, V. and Katakis, I. and Morik, K. and Verscheure, O.",
    journal = "Information Systems Control Journal",
    year = "2016",
    volume = "57",
    pages = "75-76",
    publisher = "Elsevier Ireland Ltd",
    doi = "10.1016/j.is.2016.01.001",
    keywords = "Information management;  Sensor networks;  Smart city;  Social networking (online), Information sources;  Interdisciplinary fields;  Novel applications;  Public transport;  Quality of life;  Urban data;  Wearable devices, Data mining",
    abstract = "Modern cities are flooded with data. New information sources like public transport and wearable devices provide opportunities for novel applications that will improve citizens' quality of life. 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 second part of a special issue on the topic 'Mining Urban Data' published in the journal Information Systems. © 2016 Published by Elsevier Ltd."
}