Mining data from simulation of beer production

Yanbing Ju*, Aihua Wang, Fengchun Zhu, Chuanliang Xia

*此作品的通讯作者

    科研成果: 书/报告/会议事项章节会议稿件同行评审

    1 引用 (Scopus)

    摘要

    Data mining is a methodology for the extraction of knowledge from data, especially, knowledge relating to a problem that we want to solve. Data mining from simulation outputs is performed in this paper. It focuses on techniques for extracting knowledge from simulation outputs for beer production and optimizing devices and labors with certain target. We first set up one simulation model for beer production process and construct optimization objective. Then we set up one data mining model based on witness miner. The mining results show that the model is able to find important information affecting target, make manager diagnose the bottlenecks of the beer production process, and help manager to make decisions rapidly under uncertainty.

    源语言英语
    主期刊名Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
    47-51
    页数5
    DOI
    出版状态已出版 - 2005
    活动2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05 - Wuhan, 中国
    期限: 30 10月 20051 11月 2005

    出版系列

    姓名Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
    2005

    会议

    会议2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
    国家/地区中国
    Wuhan
    时期30/10/051/11/05

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    引用此

    Ju, Y., Wang, A., Zhu, F., & Xia, C. (2005). Mining data from simulation of beer production. 在 Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05 (页码 47-51). 文章 1598705 (Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05; 卷 2005). https://doi.org/10.1109/NLPKE.2005.1598705