ISI Journals

This article explores the dynamic intersection of survival analysis, environmental science, and data mining, unraveling the potential of this multidisciplinary approach to shed light on temporal patterns within environmental systems. The integration of survival analysis techniques with data mining methodologies offers a powerful lens through which to examine the survival probabilities of ecological entities, endangered species, and ecosystems. The study navigates through a rich literature review, detailing the evolution of survival analysis in environmental science, the diverse applications of data mining in environmental datasets, and the synergy achieved through their amalgamation. Employing a robust research methodology, this investigation delves into real-world environmental datasets to extract meaningful insights, presenting results that contribute to a nuanced understanding of the temporal dynamics within ecological systems. The article concludes by reflecting on the implications, challenges, and the transformative potential of survival analysis and data mining in advancing environmental science.