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Erschienen in:
2018 | OriginalPaper | Buchkapitel
A Smart Air Pollution Analytics Framework
verfasst von : Anindita Desarkar, Ajanta Das
Erschienen in: Information and Communication Technology
Verlag: Springer Singapore
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Abstract
Air pollution which is the worst environmental health risk across the world takes millions of lives every year both in developing and developed countries. These huge premature deaths happen due to long-term exposure to air pollutants as most of the cities do not meet the acceptable pollution level suggested by World Health Organization (WHO). So there is an urgent need to reduce the air pollution level across the globe. This paper proposes a state-of-the-art approach and proposes a layered air pollution reduction framework. The methodology of the proposed framework also suggests the action plans to reduce air pollution level with an innovative Rule Base and mining appropriate data from the huge dataset which is basically a data warehouse. It also discusses the expected outcome of the proposed framework beneficial to the citizens.