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Distributed Data Mining Solution for Detecting Behavior of Climate Changes

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Type: Conference Paper
Author: Hemachandra, T. L. I. M; Noel, M. G.; Fernando, A. S.
Conference: International Conference on Climate Change & Social Issues 2011
Location: Colombo, Sri Lanka
Conf. Date: 14-15 December
Date: 2011
URI: https://hdl.handle.net/10535/7740
Sector: Information & Knowledge
Region: Middle East & South Asia
Subject(s): data analysis
climate change
Abstract: "Mitigation and Adaptation addresses a wide range of economic and environment topics including global climate changes. Climate mitigation involve with permanently get rid of or reducing long term risks of climate changes to human life and the climate adaptation refers to the ability of a system or people to prepare or adjust to climate changes to minimize overall damage, to take benefits of opportunities, or to handle the consequences. This paper is basically describes a distributed data mining solution for detecting the behavior of climate changes. It's a critical thing to predict or detect climate changes by discovering knowledge from increasingly growing temporal, spatial and spatial-temporal data because of the complexities of analysis need to be performed. Such as when integrating geographically distributed, decentralized recent data to a single location to anlayse with historical data, analyse non-linear dependencies and dynamical behaviors after removing noisy, inconsistent data and transpose them into appropriate forms. Because of this bottleneck this survey is trying to map solutions generated by distributed data mining methods, techniques with climate predicting requirements and analyse environmental facts which effect on climate changes. The survey finally discusses based on the recent literature and proposes new directions and opportunities to detect changing behavior of climate, enabling the people or a system to take preventive actions and implement mitigation and adaptation strategies for climate changes."

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