{"title":"多层嵌套散点图:一种多通道相关时间序列信号的数据纠缠方法","authors":"Jun Jo, Y. Lee, Jongwoon Hwang","doi":"10.1109/AI4I.2018.8665695","DOIUrl":null,"url":null,"abstract":"Graphical representation of correlated multi-channel time series signal is studied in this paper. With the proposed multi-layer nested scatter plot (NSP), we can compress multichannel time series signals into static sized data and can obtain advantages inherent in scatter plots.","PeriodicalId":133657,"journal":{"name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Multi-Layer Nested Scatter Plot a Data Wrangling Method for Correlated Multi-Channel Time Series Signals\",\"authors\":\"Jun Jo, Y. Lee, Jongwoon Hwang\",\"doi\":\"10.1109/AI4I.2018.8665695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Graphical representation of correlated multi-channel time series signal is studied in this paper. With the proposed multi-layer nested scatter plot (NSP), we can compress multichannel time series signals into static sized data and can obtain advantages inherent in scatter plots.\",\"PeriodicalId\":133657,\"journal\":{\"name\":\"2018 First International Conference on Artificial Intelligence for Industries (AI4I)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 First International Conference on Artificial Intelligence for Industries (AI4I)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AI4I.2018.8665695\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AI4I.2018.8665695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Layer Nested Scatter Plot a Data Wrangling Method for Correlated Multi-Channel Time Series Signals
Graphical representation of correlated multi-channel time series signal is studied in this paper. With the proposed multi-layer nested scatter plot (NSP), we can compress multichannel time series signals into static sized data and can obtain advantages inherent in scatter plots.