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Towards Real-Time Analysis of Smart City Data: A Case Study on City Facility Utilizations

机译:走向智能城市数据的实时分析:以城市设施利用为例

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Analyzing smart city data can reveal various important facts related to cities, thus smart city initiatives have attracted much attentions of computer science researchers as well as data scientists. Analyzing smart city data in a real-time manner is an important scenario of smart city data analysis. Real-time analysis can alert emergent situations (e.g., traffic accidents, squalls), recommend useful information (e.g., usable facilities on time, routes for destinations), and so forth. In this paper, we develop a real-time analytical system based on StreamOLAP (an OLAP system for streaming data) for smart city data analysis which enables OLAP-style analytics over streaming data, and apply the analytical system for real-world smart city data (namely, city facility utilization data). The application realizes that our system is feasible to analyse smart city data in a real-time manner.
机译:分析智能城市数据可以揭示与城市相关的各种重要事实,因此智能城市举措吸引了大量的计算机科学研究人员以及数据科学家的关注。以实时方式分析智能城市数据是智能城数据分析的重要场景。实时分析可以提醒紧急情况(例如,交通事故,Qualls),推荐有用的信息(例如,可用的设施,目的地的航线)等等。在本文中,我们开发了一个基于STRUMEDOLAP(用于流数据的OLAP系统)的实时分析系统,用于智能城市数据分析,使OLAP风格的分析在流数据上,并应用现实世界智能城市数据的分析系统(即城市设施利用数据)。该应用程序意识到我们的系统是可行的,以实时方式分析智能城市数据。

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