Data mining techniques for earthquakes study | |
| Author | Otman, Abdulrahman |
| Call Number | AIT RSPR no.ICT-13-03 |
| Subject(s) | Data mining Earthquakes--Study and teaching |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Communications Technologies, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. ICT-13-03 |
| Abstract | The digital society is facing an unprecedented volume growth rate. This increase of data flow calls for new techniques for data analysis to outmatch simple statistical techniques, to perform a smart understanding and presentation of what is called nowadays Big Data. Sorting through this large amount of data, giving an output of relevant and humanly understandable information is the main objective of Data Mining. The aim of Data Mining is to simplify and reduce the size or the complexity so that it becomes understandable and usable. This research focuses on two main concepts of Data Mining: Clustering and Prediction. After a performance comparison with MATLAB of two clustering algorithms: K-Means clustering algorithm and Fuzzy C-Means algorithm, we will apply those concepts to the study of the United States Geological Survey’s (USGS) earthquakes catalog, a dataset of worldwide earthquakes events between 1900 and 2008. Through this study we will underline the depth dependence of earthquakes frequency-magnitude distribution, following the Gutenberg and Richter relationship. |
| Year | 2013 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. ICT-13-03 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information and Communication Technology (ICT) |
| Chairperson(s) | Guha, Sumantha; |
| Examination Committee(s) | Poompat Saengudomlert;Dailey, Matthew N.; |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2013 |