Communications of the ACM
Big Data Analytics to Automatically Detect Events in Smart Cities
King Abdulaziz University researchers used big data analytics to detect spatio-temporal events around London based on the intensity of tweets from specific locations within the city.
Credit: Suma et al.
Researchers at King Abdulaziz University in Saudi Arabia used big data analytics to detect spatio-temporal events around London, testing the potential of the technology in harnessing live information.
The researchers developed architecture for big data analysis that can be useful for spatio-temporal event detection, by using big data and machine learning platforms Spark and Tableau to analyze more than 3 million tweets relevant to London.
King Abdulaziz University's Sugimiyanto Suma says, "We detected the occurrence of multiple events, both their locations and times, including the London Notting Hill Carnival 2017 event, of which we had no prior knowledge."
With the growth of smart cities, this technology could be adapted to provide more detailed results about events, and to assist the government and other stakeholders in decision-making and city planning processes.
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