Mining Urban Data (Part B)

doi:10.1016/j.is.2016.01.001

Mining Urban Data (Part B)

2016-04-01

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DOI：10.1016/j.is.2016.01.001

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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. (C) 2016 Published by Elsevier Ltd.

Keyword:

Urban data

Smart cities

Data mining

Data management

Sensor networks

Social networks

Mining Urban Data (Part B)

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