A survey on Predictive data mining techniques for disaster prediction
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2015 by IJETT Journal | ||
| Volume-30 Number-5 |
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| Year of Publication : 2015 | ||
| Authors : Arjun Singh |
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| DOI : 10.14445/22315381/IJETT-V30P242 |
Citation
Arjun Singh"A survey on Predictive data mining techniques for disaster prediction", International Journal of Engineering Trends and Technology (IJETT), V30(5),223-227 December 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
The world is unpredictable and random in
nature.Some of events are human generated and some
of them are nature inspired. Among these events the
natural events are change the face of leaving and also
impact on the human life. In such events the disasters
are most of the time affecting human and their daily
life. In this paper a survey on the disasters and their
effects are prepared first. Then after a technique is
introduced to perform the text and news analysis by
which the location of disaster can be predictable. The
proposed data model is used to analyse the text and
HTML documents for making the prediction. That
technique is not used to predict the disaster before it
occurred, it helps to discover the locations of disasters
for improving recovery operations.
References
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Keywords
Disaster management, data mining,
prediction, text and news analysis, recovery.