The Big Data Deluge for Transforming the Knowledge of Smart Sustainable Cities: A Data Mining Framework for Urban Analytics

Simon Elias Bibri, J. Krogstie
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引用次数: 37

Abstract

There has recently been much enthusiasm about the possibilities created by the big data deluge to better understand, monitor, analyze, and plan modern cities to improve their contribution to the goals of sustainable development. Indeed, much of our knowledge of urban sustainability has been gleaned from studies that are characterized by data scarcity. Therefore, this paper endeavors to develop a systematic framework for urban sustainability analytics based on a cross-industry standard process for data mining. The intention is to enable well-informed decision-making and enhanced insights in relation to diverse urban domains. We argue that there is tremendous potential to transform and advance the knowledge of smart sustainable cities through the creation of a big data deluge that seeks to provide much more sophisticated, wider-scale, finer-grained, real-time understanding, and control of various aspects of urbanity in the undoubtedly upcoming Exabyte Age.
转化智慧可持续城市知识的大数据洪流:城市分析的数据挖掘框架
最近,人们对大数据洪流所带来的可能性充满了热情,这些可能性可以更好地理解、监测、分析和规划现代城市,以提高它们对可持续发展目标的贡献。事实上,我们对城市可持续性的大部分知识都是从数据稀缺的研究中收集来的。因此,本文试图建立一个基于跨行业数据挖掘标准流程的城市可持续性分析系统框架。其目的是使决策更加明智,并增强对不同城市领域的洞察力。我们认为,在即将到来的eb时代,通过创造大数据洪流,寻求提供更复杂、更广泛、更细粒度、实时的理解和控制城市的各个方面,有巨大的潜力来改变和推进智慧可持续城市的知识。
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