Better understanding of field measurements by means of Data Mining

机译：通过数据挖掘更好地了解现场测量

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Data Mining is a process to recognize patterns and structures in a large amount of data and to derive rules for their correlation. These rules provide the prediction of particular parameters. The basic principles of Data Mining and possible applications in the field of geotechnics are illustrated and exemplified by the interpretation of the results of cone penetration tests.

机译：数据挖掘是识别大量数据中的模式和结构并导出相关规则的过程。这些规则提供了对特定参数的预测。数据挖掘的基本原理以及在岩土工程领域的可能应用通过对圆锥体渗透测试结果的解释来说明和举例说明。

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来源
《International Symposium on Geotechnical Measurements and Modelling; Sep 23-25, 2003; Karlsruhe, Germany》|2003年|p.291-296|共6页
会议地点 Karlsruhe(DE)
作者
A. Prokhorova; M. Ziegler;
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作者单位

RWTH Aachen, Geotechnical Engineering, Aachen, Germany;

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原文格式 PDF
正文语种 eng
中图分类公路运输;
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Better understanding of field measurements by means of Data Mining

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