{"title":"基于大数据背景下的传统与流动工艺的网络信息传承","authors":"Fang Ji, Yulong Xue","doi":"10.1109/ICOEI51242.2021.9453048","DOIUrl":null,"url":null,"abstract":"Network information inheritance of traditional and migrant craftsmanship based on the background of big data is studied. The data structure has not yet achieved uniformity in scope, and it is still difficult to achieve data integration on one platform; in addition, the increasing business volume makes the development direction of data present a trend of fragmentation, and the user's business model Is also gradually changing. To face with this challenge, this paper studies the novel data structure for the efficient analysis. We apply the model on the scenario of the traditional and migrant craftsmanship, the test results reflect that the model is efficient.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Network information inheritance of traditional and migrant craftsmanship based on the background of big data\",\"authors\":\"Fang Ji, Yulong Xue\",\"doi\":\"10.1109/ICOEI51242.2021.9453048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Network information inheritance of traditional and migrant craftsmanship based on the background of big data is studied. The data structure has not yet achieved uniformity in scope, and it is still difficult to achieve data integration on one platform; in addition, the increasing business volume makes the development direction of data present a trend of fragmentation, and the user's business model Is also gradually changing. To face with this challenge, this paper studies the novel data structure for the efficient analysis. We apply the model on the scenario of the traditional and migrant craftsmanship, the test results reflect that the model is efficient.\",\"PeriodicalId\":420826,\"journal\":{\"name\":\"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOEI51242.2021.9453048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOEI51242.2021.9453048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Network information inheritance of traditional and migrant craftsmanship based on the background of big data
Network information inheritance of traditional and migrant craftsmanship based on the background of big data is studied. The data structure has not yet achieved uniformity in scope, and it is still difficult to achieve data integration on one platform; in addition, the increasing business volume makes the development direction of data present a trend of fragmentation, and the user's business model Is also gradually changing. To face with this challenge, this paper studies the novel data structure for the efficient analysis. We apply the model on the scenario of the traditional and migrant craftsmanship, the test results reflect that the model is efficient.