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Mining and Analysis of Air Quality Data to Aid Climate Change

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conference contribution
posted on 2023-08-30, 17:07 authored by Lakshmi Babu Saheer, Mohamed Shahawy, Javad Zarrin
The data science and AI community has gathered around the world to support tackling the climate change problem in different domains. This research aims to work on the air quality through emissions and pollutant concentration data along with vegetation information. Authorities especially in urban cities like London have been very vigilant in monitoring these different aspects of air quality and reliable sources of big data are available in this domain. This study aims to mine and collate this information spread all over the place in different formats into usable knowledge base on which further data analysis and powerful Machine Learning approaches can be built to extract strong evidences useful in building better policies around climate change.

History

Name of event

9th Mining Humanistic Data Workshop

Location

Halkidiki, Greece

Event start date

2020-06-05

Event finish date

2020-06-07

File version

  • Accepted version

Language

  • eng

Legacy posted date

2020-04-07

Legacy creation date

2020-04-07

Legacy Faculty/School/Department

Faculty of Science & Engineering

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