TY - JOUR
TI - Mining Urban Data (Part B)
AU - Andrienko, G.
AU - Gunopulos, D.
AU - Ioannidis, Y.
AU - Kalogeraki, V.
AU - Katakis, I.
AU - Morik, K.
AU - Verscheure, O.
JO - Information Systems Control Journal
PY - 2016
VL - 57
TODO - null
SP - 75-76
PB - Elsevier Ireland Ltd
SN - null
TODO - 10.1016/j.is.2016.01.001
TODO - 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
TODO - 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.
ER -