Earthquake Prediction using Seismic Information

Authors

  • Madhushree N  M. Tech Scholar, New Horizon College of Engineering, Bangalore, Karnataka, India
  • Dr. R. Thirukkumaran  Associate Professor, New Horizon College of Engineering, Bangalore, Karnataka, India

DOI:

https://doi.org/10.32628/CSEIT2063107

Keywords:

Earthquake, Precursory Pattern, Magnitude, Time Range, Random Forest Regression

Abstract

Earhquake is one of the most hazardous, devasting natural calamity and yet a very least predictable natural disaster that occur. Prediction of earthquake has been a challenging research for many researchers. With the increasing amount of earthquake dataset collected, many researchers try to solve the task of predicting the earthquake in future time. Even though many data mining techniques are been used, the prediction rate is not still accurate due to lack of feature extraction technique. The proposed methodology enhance the performance of earthquake prediction. As obtained precursory pattern features along with Random forest regression is used to get prediction of the magnitude of future earthquakes.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-06-30

Issue

Volume 6, Issue 3, May-June-2020

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Madhushree N, Dr. R. Thirukkumaran, " Earthquake Prediction using Seismic Information" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.554-558, May-June-2020. Available at doi : https://doi.org/10.32628/CSEIT2063107