基于数据挖掘的葡萄酒品质识别研究

Zhang Lingfeng, F. Feng, Huang Heng
{"title":"基于数据挖掘的葡萄酒品质识别研究","authors":"Zhang Lingfeng, F. Feng, Huang Heng","doi":"10.1109/ICCSE.2017.8085517","DOIUrl":null,"url":null,"abstract":"For the quality of the wine big data identification technology, the introduction of data mining classification algorithm, effectively according to the content of several impact compounds in wine level identification;Are introduced including the Logistic regression and BP neural network and SVM classification algorithm, in view of the three algorithms identify the modeling analysis of wine quality. Data mining is closely related to big data, applying data mining to the wine in the quality detection of big data, can quickly to the quality of the wine.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"294 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Wine quality identification based on data mining research\",\"authors\":\"Zhang Lingfeng, F. Feng, Huang Heng\",\"doi\":\"10.1109/ICCSE.2017.8085517\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the quality of the wine big data identification technology, the introduction of data mining classification algorithm, effectively according to the content of several impact compounds in wine level identification;Are introduced including the Logistic regression and BP neural network and SVM classification algorithm, in view of the three algorithms identify the modeling analysis of wine quality. Data mining is closely related to big data, applying data mining to the wine in the quality detection of big data, can quickly to the quality of the wine.\",\"PeriodicalId\":256055,\"journal\":{\"name\":\"2017 12th International Conference on Computer Science and Education (ICCSE)\",\"volume\":\"294 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 12th International Conference on Computer Science and Education (ICCSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSE.2017.8085517\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th International Conference on Computer Science and Education (ICCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE.2017.8085517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

对于葡萄酒质量的大数据识别技术,引入数据挖掘分类算法,有效地根据几种影响化合物的含量进行葡萄酒水平识别;分别介绍了包括Logistic回归和BP神经网络以及SVM分类算法在内的三种算法,针对这三种算法对葡萄酒质量识别进行建模分析。数据挖掘与大数据密切相关,将数据挖掘应用于葡萄酒质量检测中的大数据,可以快速地对葡萄酒的质量进行检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wine quality identification based on data mining research
For the quality of the wine big data identification technology, the introduction of data mining classification algorithm, effectively according to the content of several impact compounds in wine level identification;Are introduced including the Logistic regression and BP neural network and SVM classification algorithm, in view of the three algorithms identify the modeling analysis of wine quality. Data mining is closely related to big data, applying data mining to the wine in the quality detection of big data, can quickly to the quality of the wine.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信