Mining Urban Data (Part C)

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• 作者：Gennady Andrienko^a ; ^b ; Dimitrios Gunopulos^c ; Yannis Ioannidis^c ; Vana Kalogeraki^d ; Ioannis Katakis^c ; ¹ ; ^{katak@di.uoa.gr} ; Katharina Morik^e ; Olivier Verscheure^f
• 关键词：Urban data ; Smart cities ; Data mining ; Data management ; Sensor networks ; Social networks
• 刊名：Information Systems
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：64
• 期：Complete
• 页码：219-220
• 全文大小：108 K
• 卷排序：64

文摘

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.