Worldwide Significant Earthquakes Data Analytics Using Business Intelligence Techniques

Authors : Mouhib Alnoukari, Anas Abdulaziz, Joud Alakkad

Pages : 690-708

Doi:10.33484/sinopfbd.1751220

View : 74 | Download : 213

Publication Date : 2025-12-24

Article Type : Other Papers

Abstract :Earthquakes are among the most upsetting natural events, capable of causing enormous destruction and loss of human lives. Understanding and mitigating their impacts requires sophisticated analysis tools. One viable strategy entails applying business intelligence (BI), which can effectively examine extensive historical earthquake records alongside with real-time seismic data. By exploring patterns hidden within this information, researchers can potentially uncover early signals indicating an impending earthquake. In this paper, the aim is to apply BI techniques to comprehensivly analyse earthquake data collected between 1843 and April 2025, focusing on significant seismic events with magnitudes greater than five on the Richter scale. To achieve this, a comprehensive seismic data warehouse was established to enable systematic analysis of past earthquake occurrences. Through the request for data mining methods, this research investigates the complex relationships between geological features and tectonic movements. These methods include clustering techniques that group similar earthquakes to help classify potential precursors to larger seismic events. Additionally, classification approaches categorize earthquakes by their severity low-risk, medium-risk, and high-risk while regression analysis forecasts specific earthquake features such as magnitude, depth, and geographical location. Moreover, the research employes time-series analytical method to forecast future occurrences of significant earthquakes worldwide. Such predictive insights are vital not only for understanding seismic activity patterns but also for improving existing forecasting systems. PowerBI is used for data analytics and visualization to facilitate the analysis of global large-scale earthquake data, reflecting their evolution, impact, and recurring locations; data from 1843 to April 2025 were compiled and examined. Ultimaly, the goal of this work is to refine and advance earthquake analysis tools, thereby enabling more accurate predictions and enhanced preparedness strategies worldwide.
Keywords : Önemli depremler, İş zekası, Veri madenciliği, Sismik veri analizi

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