کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6922147 1448269 2018 31 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure
ترجمه فارسی عنوان
پیش بینی زلزله در کالیفرنیا با استفاده از الگوریتم های رگرسیون و زیرساخت های داده بزرگ مبتنی بر ابر
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Earthquake magnitude prediction is a challenging problem that has been widely studied during the last decades. Statistical, geophysical and machine learning approaches can be found in literature, with no particularly satisfactory results. In recent years, powerful computational techniques to analyze big data have emerged, making possible the analysis of massive datasets. These new methods make use of physical resources like cloud based architectures. California is known for being one of the regions with highest seismic activity in the world and many data are available. In this work, the use of several regression algorithms combined with ensemble learning is explored in the context of big data (1 GB catalog is used), in order to predict earthquakes magnitude within the next seven days. Apache Spark framework, H2O library in R language and Amazon cloud infrastructure were been used, reporting very promising results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 115, June 2018, Pages 198-210
نویسندگان
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