地震文本数据库中的知识发现:重大地震与时间之间的相关性

J. Goldman, D. S. Parker, W. Chu
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引用次数: 4

摘要

作者从文本数据库中获取了一个真实世界的应用程序,并呈现了一个案例历史。这些技术最终导致了一个与地震学中公认的范式相矛盾的发现。他们使用简单的、量身定制的关键字提取方法,检查了地震数据的文本集合。当文本中出现一个不寻常的图案时,人们有了一个发现。然后,他们测试了一个更全面的数字数据库,将文本发现作为一个假设。使用标准/spl chi//sup 2/统计量进行验证。这个假设是,在包括加州在内的经度区域,早晨发生的地震比一天中的任何其他时间都要多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge discovery in an earthquake text database: correlation between significant earthquakes and the time of day
The authors take a real world application from a text database and present a case history. The techniques ultimately led to a discovery contradicting an accepted paradigm in seismology. Using simple, tailored, keyword extraction, they examined a text collection of earthquake data. A discovery was made when an unusual pattern emerged from the text. They then tested a more comprehensive numerical database, treating the the text discovery as a hypothesis. It was verified using a standard /spl chi//sup 2/ statistic. The hypothesis was significant earthquakes in the longitude regions that include California, occur more often in the morning hours than any other time of day.
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