Amalgamation of Forecasting Environment Based upon Natural Disaster (Earth Quake) Analysis using DM Techniques
Journal Title: Elysium Journal of Engineering Research and Management - Year 2017, Vol 4, Issue 4
Abstract
Streams of data is collected from big data and gathered information is separated from these data is known as data mining. This tools forecasts performances and future developments, permitting trades to provide useful decisions. It can response questions that envisageably time overwhelming to resolution. geophysics and economy complications are solved by time series event named forecast.. The ancient data are composed for organizing time series, for preprocessing and for envisaging the effect of earthquake which spoils the environment by applying some criterias. The environment is spoiled due to disaster happened, some methods are applied to find the impact of earthquake. In ancient earthquake time series, Environment expectation is done for reviewing the method. Enormous data set are filtered by preprocessing for the responsibility of prediction. Support Vector Machine (SVM)is to classify the data and Particle Swarm Optimization (PSO) is to indicate the best data for improving performance.. The performance of this approach is analyzed and verified that it shows the better results compared than previous techniques.
Authors and Affiliations
Karppakameenal M, Sangeetha K
Keywords
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