Mining and Analysis of Air Quality Data to Aid Climate Change

Babu Saheer, Lakshmi and Shahawy, Mohamed and Zarrin, Javad (2020) Mining and Analysis of Air Quality Data to Aid Climate Change. In: 9th Mining Humanistic Data Workshop, Halkidiki, Greece.

[img]
Preview
Text
Accepted Version
Available under the following license: Creative Commons Attribution Non-commercial No Derivatives.

Download (711kB) | Preview
Official URL: https://conferences.cwa.gr/mhdw2020/

Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Keywords: Data Mining and Analysis, Data Pre-Processing, Air Quality, Climate Change, Urban Planning and Machine Learning, Geographic Information Systems
Faculty: Faculty of Science & Engineering
Depositing User: Lisa Blanshard
Date Deposited: 07 Apr 2020 15:05
Last Modified: 09 Sep 2021 18:53
URI: https://arro.anglia.ac.uk/id/eprint/705399

Actions (login required)

Edit Item Edit Item