酒花提取过程中颗粒床结块的数据挖掘分析

J. Grzymala-Busse, Z. Hippe, T. Mroczek, E. Rój, B. Skowronski
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引用次数: 7

摘要

我们的目的是研究在啤酒花提取过程中一些因素对床结块倾向的影响。重要的是要保持过程无床块,因为它延长了提取。在我们的研究中,使用三个描述提取过程的数据集来使用规则归纳和生成信念网络进行知识发现。专家们从潜在应用的角度分析了发现的知识。最后,使用十倍交叉验证估计所有使用方法的错误率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data mining analysis of granular bed caking during hop extraction
Our objective was to investigate an influence of some factors contributing to the bed caking tendency during the hop extraction process. It is important to keep the process free of bed caking since it prolongs extraction. In our research, three data sets describing the extraction process were used for knowledge discovery using rule induction and generation of belief networks. Experts analyzed discovered knowledge from the view point of potential applications. Finally, an error rate for all used methods was estimated using ten-fold cross validation.
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