大基础设施数据中多属性关系的可视化分析

2016 Big Data Visual Analytics (BDVA) Pub Date : 2016-11-01 DOI:10.1109/BDVA.2016.7787052

Jianlong Zhou, Zelin Li, Zongjian Zhang, Bin Liang, Fang Chen

{"title":"大基础设施数据中多属性关系的可视化分析","authors":"Jianlong Zhou, Zelin Li, Zongjian Zhang, Bin Liang, Fang Chen","doi":"10.1109/BDVA.2016.7787052","DOIUrl":null,"url":null,"abstract":"This paper presents information visualization methods for revealing relations of multi-attributes in big infrastructure data. The interactive parallel coordinates, sunburst visualization and combinational visualization approaches are used to represent different relations to get insights from the big infrastructure data. The water pipe failure data is used as a case study to show the effectiveness of proposed visual analytics approaches.","PeriodicalId":201664,"journal":{"name":"2016 Big Data Visual Analytics (BDVA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data\",\"authors\":\"Jianlong Zhou, Zelin Li, Zongjian Zhang, Bin Liang, Fang Chen\",\"doi\":\"10.1109/BDVA.2016.7787052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents information visualization methods for revealing relations of multi-attributes in big infrastructure data. The interactive parallel coordinates, sunburst visualization and combinational visualization approaches are used to represent different relations to get insights from the big infrastructure data. The water pipe failure data is used as a case study to show the effectiveness of proposed visual analytics approaches.\",\"PeriodicalId\":201664,\"journal\":{\"name\":\"2016 Big Data Visual Analytics (BDVA)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Big Data Visual Analytics (BDVA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BDVA.2016.7787052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Big Data Visual Analytics (BDVA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BDVA.2016.7787052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

提出了揭示大基础设施数据中多属性关系的信息可视化方法。采用交互式平行坐标、日蚀可视化和组合可视化等方法来表示不同的关系，从基础设施大数据中获得洞察。以输水管故障数据为例，验证了可视化分析方法的有效性。

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

Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data

This paper presents information visualization methods for revealing relations of multi-attributes in big infrastructure data. The interactive parallel coordinates, sunburst visualization and combinational visualization approaches are used to represent different relations to get insights from the big infrastructure data. The water pipe failure data is used as a case study to show the effectiveness of proposed visual analytics approaches.

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

2016 Big Data Visual Analytics (BDVA)

自引率

0.00%

发文量