Internet of Things (IoTs) based prototype is used for disaster risk analysis and effective pre and post management of disaster stricken areas. Data mining techniques along with IoT are used to facilitate information sharing as early as possible and to ensure participation of as many as private and public service providers for major disaster prediction and recovery processes. The main challenge faced during prediction about the chances of occurrences of disasters is the analysis of the available dynamic data and information sharing at an early stage. In this paper, integrated data from different meteorological sources have to be collected and analysed using clustering and mining algorithms to predict natural calamities. Semantic analysis using ontology has been taken to ensure the prediction. On detecting this trust worthy abnormal conditions, cyclone can be predicted and convey this information to the service providers via internet and to the public as early as possible.
Keywords
Cyclone
Data mining
Ontology
Internet of Things
Authors
Anagha .S. Chandran
Mannar Mannan.J
How to Cite this Article
Anagha .S. Chandran, Mannar Mannan.J (2016).
"RISK ASSESMENT OF NATURAL DISASTER USING WEB MINING".
International Journal of Contemporary Research in Computer Science and Technology,
2(4), pp. 731-735.
