{"title":"工业产品设计中的数据可视化研究","authors":"Bin Song, Siti Mastura Ishak","doi":"10.1109/ICIDDT52279.2020.00027","DOIUrl":null,"url":null,"abstract":"In the background of data era, graphics language meets more opportunities and challenges, so it is of great significance to transform data into graphics language. This paper mainly designs a set of data-based intelligent system. Through the research of multi-dimensional data visualization, firstly, the high-dimensional data is processed to reduce the dimension, so as to get the lower dimensional data, and then the low-dimensional data is transformed into a more intuitive type of graphic markers, so that users can understand the high-dimensional data more intuitively. The research results show that this system can provide users with the most suitable types of tags, and save users more time and energy. Data visualization has different experiences for different users, so it is a very important challenge to let users feel that data perspective is effective as much as possible. At present, machine learning is a developing field. It is a very good research direction to combine the two. It can not only promote the development of big data field, but also bring more wealth to the society.","PeriodicalId":6781,"journal":{"name":"2020 International Conference on Innovation Design and Digital Technology (ICIDDT)","volume":"6 1","pages":"102-106"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research of data visualization in industrial product design\",\"authors\":\"Bin Song, Siti Mastura Ishak\",\"doi\":\"10.1109/ICIDDT52279.2020.00027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the background of data era, graphics language meets more opportunities and challenges, so it is of great significance to transform data into graphics language. This paper mainly designs a set of data-based intelligent system. Through the research of multi-dimensional data visualization, firstly, the high-dimensional data is processed to reduce the dimension, so as to get the lower dimensional data, and then the low-dimensional data is transformed into a more intuitive type of graphic markers, so that users can understand the high-dimensional data more intuitively. The research results show that this system can provide users with the most suitable types of tags, and save users more time and energy. Data visualization has different experiences for different users, so it is a very important challenge to let users feel that data perspective is effective as much as possible. At present, machine learning is a developing field. It is a very good research direction to combine the two. It can not only promote the development of big data field, but also bring more wealth to the society.\",\"PeriodicalId\":6781,\"journal\":{\"name\":\"2020 International Conference on Innovation Design and Digital Technology (ICIDDT)\",\"volume\":\"6 1\",\"pages\":\"102-106\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Innovation Design and Digital Technology (ICIDDT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIDDT52279.2020.00027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Innovation Design and Digital Technology (ICIDDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIDDT52279.2020.00027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of data visualization in industrial product design
In the background of data era, graphics language meets more opportunities and challenges, so it is of great significance to transform data into graphics language. This paper mainly designs a set of data-based intelligent system. Through the research of multi-dimensional data visualization, firstly, the high-dimensional data is processed to reduce the dimension, so as to get the lower dimensional data, and then the low-dimensional data is transformed into a more intuitive type of graphic markers, so that users can understand the high-dimensional data more intuitively. The research results show that this system can provide users with the most suitable types of tags, and save users more time and energy. Data visualization has different experiences for different users, so it is a very important challenge to let users feel that data perspective is effective as much as possible. At present, machine learning is a developing field. It is a very good research direction to combine the two. It can not only promote the development of big data field, but also bring more wealth to the society.