Analysis of Climate Change and Its Impact on Health Using Big Data Analytics in Cloud Environment

Abstract

Big data analytics, an emerging and most useful technology in the field of data analysis dealing with huge quantity of data, is used in this paper for exploring the domain and the repercussions of climate change with its adverse effects on health. Humans have failed until now to prevent the generation of greenhouse gases in the stratosphere which does not allow us to prevent health impacts that climate change is likely to direct upon humans and cause of global warming.

Mining of climate, temperature, global health and death dataset, helps in visualization of data and the clear analysis of the problem. Technologies, related to the Big Data field, have been applied for analyzing and drawing correlations among radical features which are causing climate change. The first is the use of pollution datasets in different cities of the United States. The second technology used is Global temperature analysis with the help of datasets of different chronological timelines and the third is NCHS Leading causes of deaths in the United states using demographic and medical characteristics, Decision tree modeling using ML LIB is one of the key features in proper analysis.

Keywords:

• Analysis
• Big data
• Climate
• Datasets
• Global warming
• Pollution

Acknowledgments

I thank all reviewers of my research paper and my PhD supervisor Dr Mohd. Amjad.

Additional information

Notes on contributors

Mahboob Alam

Mahboob Alam is a PhD student of computer engineering department at Jamia Millia Islamia University New Delhi, India. He obtained his BTech in computer science and information technology from the Department of Computer Science and Information Technology from MJP Rohilkhand University, Bareilly UP India in 2008 with first class. He obtained MTech in computer engineering degree from Malaviya National Institute of Technology (MNIT), Jaipur Rajasthan, India in 2010 with first class.

Mohd. Amjad

Mohd Amjad is professor in the Department of Computer Engineering, Faculty of Engineering & Technology of Jamia Millia Islamia, New Delhi. Dr Amjad earned the PhD degree in the field of mobile ad hoc networks and he contributed in 69 research publications in different conferences and journals. He has actively participated in research and development activities in the areas of the MANN, WSN, IoT, and network security systems. Dr Amjad is an ISTE lifelong member and is an expert lecturer on topics related to IoT, wireless sensor networks, mobile communication, network security, and Ad mobile networks. E-mail: [email protected]