Identification of Regions and Probable Health Risks Due to Air Pollution Using K-Mean Clustering Techniques

Bonny Paulose, S. Sabitha, Ritu Punhani, Ishaan Sahani
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引用次数: 4

Abstract

Air pollution is a major health issue affecting both developed and developing countires. Due to increase in air pollution infants, children and adults are at high risk and most are affected by chronic respiratory diseases. Air pollution is caused due to introduction of particulate matters, biological molecules and other harmful materials in the environment.In this research work the main focus is on analysis of air quality of certain areas of Delhi and all the pollutants that pollute the air. Data mining technique used is K-means clustering.
基于k均值聚类技术的空气污染区域和可能健康风险识别
空气污染是影响发达国家和发展中国家的一个主要健康问题。由于空气污染的增加,婴儿、儿童和成人处于高风险之中,大多数人受到慢性呼吸道疾病的影响。空气污染是由于颗粒物、生物分子和其他有害物质进入环境而造成的。在这项研究工作中,主要重点是分析德里某些地区的空气质量和所有污染空气的污染物。使用的数据挖掘技术是k均值聚类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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