Novel Framework for Predicting and Analyzing the Impact on Climate Change
K Selvan, Department of Computer Applications, J.J. College of Arts and Science (Autonomous), Pudukkottai, Tamil Nadu, India.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 2475-2481 | Volume-8 Issue-12, October 2019. | Retrieval Number: L34261081219/2019©BEIESP | DOI: 10.35940/ijitee.L3426.1081219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Earth is a beautiful place to live in. People are leading more sophistication and comfort life when compared to the olden days. Human are inventing things to ease of their work. But the burden is put on the Mother Nature. The earth is facing enormous environmental issues due to this. For our existence we need the Earth; but for its existence does not need human. It has evolved based on its own transformation. Once the transformations are natural it didn’t harm the Earth. But if it is anthropogenic, it affects all the living things on the Earth. This research work proposes a novel framework for predicting and analyzing the impact of climate change. The results of the analysis are presented for better understanding. The performance of the framework is also validated in this work in terms of accuracy and misclassification rate.
Keywords: Climate Change, Clustering, Prediction, Temperature change, Accuracy.
Scope of the Article: Clustering