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  • 标题:Mining of Air Pollution and Visualization
  • 本地全文:下载
  • 作者:Kriti Gupta
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2016
  • 卷号:35
  • 期号:4
  • 页码:193-197
  • 出版社:Seventh Sense Research Group
  • 摘要:In this growing era of ‘Smart Cities’, there are certain factors which are being neglected. One of them is Air Pollution that is causing so many rigorous diseases in humans. The major pollutants are SO2, NO2, and PM10. So we will be finding the cities where air pollution due to these pollutants has already crossed its dangerous mark and the cities having average and low level of air pollution through Data Mining. Data Mining is a process through which certain useful and interesting patterns are extracted from the huge dataset and on the basis of them, some decisions can be taken. Patterns extracted from the mining procedure will be used to visualize the pollution and may help our government and society to take much crucial steps towards the highest polluted areas.
  • 关键词:data-mining; patterns; smart cities; rigorousdiseases; dangerous mark.
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