@inproceedings{0582150eaa6341c98f21a80d7fa0fd76,
title = "Data integration and big data mining framework to discover impacts of climate change on complex systems",
abstract = "![CDATA[Vast amount of evidence suggest that the global climate changes are already affecting many environmental and social systems. This study develops a data integration and big data mining framework for studying climate change impacts on many complex systems including but not limited to public health, bio-security, agriculture, global economy, environment, etc. Different phases of the data integration and mining process have been identified and shown how these phases are connected together in generating this decision making framework. Further it identifies limitations in current data collection processes and provides recommendations to facilitate such an integrated approach widely. A simple case study was conducted to demonstrate the capabilities of the proposed framework.]]",
keywords = "data mining, data integration (computer science), big data, climatic changes, pollution",
author = "Liwan Liyanage and Gayan Pathirage",
year = "2016",
doi = "10.5176/2251-1938_ORS16.9",
language = "English",
publisher = "Global Science & Technology Forum",
pages = "21--27",
booktitle = "Proceedings of the 4th Annual International Conference on Operations Research and Statistics (ORS 2016), 18-19 January 2016, Singapore",
note = "International Conference on Operations Research and Statistics ; Conference date: 18-01-2016",
}