IERDS, Maddur Nagar, Kurnool, Andhra Pradesh, India; Dept. of Computer Science, Assosa University, Ethiopia; Dept of Mathematics, Rayalaseema University, Kurnool, Andhra Pradesh, India
Lakshmi, K.R., IERDS, Maddur Nagar, Kurnool, Andhra Pradesh, India; Nagesh, Y., Dept. of Computer Science, Assosa University, Ethiopia; Veera Krishna, M., Dept of Mathematics, Rayalaseema University, Kurnool, Andhra Pradesh, India
Nowadays, much effort is being devoted to develop techniques that forecast natural disasters in order to take precautionary measures. A natural disaster is the effect of a natural hazard (e.g., flood, tornado, hurricane, volcanic eruption, earthquake, heat wave, or landslide). Earthquakes, landslides, tsunamis and volcano's are complex physical phenomenon that leads to financial, environmental or human losses. Prediction of such geological disasters is the need of the day. Also, prediction of these disasters is a complex process that depends on many physical and environmental parameters. Many approaches exist in the literature based on scientific and statistical analysis. Data mining techniques can also be used for prediction of these natural hazards. The main data mining techniques used for earthquake prediction are logistic models, neural networks, the Bayesian belief network, and decision trees, all of which provide primary solutions to the problems inherent in the prediction of earthquakes, tsunamis, landslides and other micro seismic activities. This paper suggests the best Data Mining technique able to correctly and quickly estimate dangerousness of the running seismic event. Several thousand seismic recordings of Japanese earthquakes were analyzed and a model was obtained by means of ten data mining techniques, namely, Binomial distribution, Earlang distribution, Exponential smoothing, Poisson distribution, Same birthday paradox, Linear regression, Artificial Neural Networks (ANN), Decision tree (C5), M8 algorithm and MSc algorithm, which were tested just over the first recordings of seismic events in order to reduce the decision time and the test results were very satisfactory. © Research India Publications.