Title | ||
---|---|---|
The Big Data Deluge for Transforming the Knowledge of Smart Sustainable Cities: A Data Mining Framework for Urban Analytics |
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.
|
Year | DOI | Venue |
---|---|---|
2018 | 10.1145/3286606.3286788 | SCA '18: 3rd International Conference on Smart City Applications
Tetouan
Morocco
October, 2018 |
Keywords | DocType | ISBN |
Smart sustainable cities, big data analytics, data mining | Conference | 978-1-4503-6562-8 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Simon Elias Bibri | 1 | 16 | 3.76 |
John Krogstie | 2 | 1234 | 129.93 |