基于分类的数据可视化支持的采样策略

2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) Pub Date : 2019-10-01 DOI:10.1109/FarEastCon.2019.8933887

R. Akhmetvaleev, I. Lakman, D. V. Popov, Zagidullin N.Sh

{"title":"基于分类的数据可视化支持的采样策略","authors":"R. Akhmetvaleev, I. Lakman, D. V. Popov, Zagidullin N.Sh","doi":"10.1109/FarEastCon.2019.8933887","DOIUrl":null,"url":null,"abstract":"The objective of this research is to select an optimal set of sampling algorithms for bi class and multi class classification problem solving on the example of the problem of the myocardium infarction localization based on retrospective electrocardiographic data.","PeriodicalId":395247,"journal":{"name":"2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sampling Strategies for Classification-Based Data Visualization Support\",\"authors\":\"R. Akhmetvaleev, I. Lakman, D. V. Popov, Zagidullin N.Sh\",\"doi\":\"10.1109/FarEastCon.2019.8933887\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this research is to select an optimal set of sampling algorithms for bi class and multi class classification problem solving on the example of the problem of the myocardium infarction localization based on retrospective electrocardiographic data.\",\"PeriodicalId\":395247,\"journal\":{\"name\":\"2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FarEastCon.2019.8933887\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FarEastCon.2019.8933887","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本研究的目的是以回顾性心电图数据为基础的心肌梗死定位问题为例，选择一组最优的双类和多类分类算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Sampling Strategies for Classification-Based Data Visualization Support

The objective of this research is to select an optimal set of sampling algorithms for bi class and multi class classification problem solving on the example of the problem of the myocardium infarction localization based on retrospective electrocardiographic data.

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

2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)

自引率

0.00%

发文量