Understanding Smart City—A Data-Driven Literature Review

This paper systematically reviews the top 200 Google Scholar publications in the area of smart city with the aid of data-driven methods from the fields natural language processing and time series forecasting. Specifically, our algorithm crawls the textual information of the considered articles and u...

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Veröffentlicht in:	Sustainability 2020-10, Vol.12 (20), p.8460
Hauptverfasser:	Stübinger, Johannes, Schneider, Lucas
Format:	Artikel
Sprache:	eng
Schlagworte:	Air pollution Algorithms Evaluation Graphical representations Interdisciplinary aspects Internet access Internet of Things Literature reviews Natural language processing Programming languages Scientific papers Search engines Smart cities Stream pollution Sustainability Time series
Online-Zugang:	Volltext
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