{"title":"数据挖掘技术及其在多传感器数据处理中的应用","authors":"Junjun Xu, Yunhui Guo, Jiang Wang","doi":"10.1109/ICPECA53709.2022.9718948","DOIUrl":null,"url":null,"abstract":"Big data contains huge data value, can effectively promote the development of university information; However, there are many difficulties in the application of big data in multi-sensor data processing. In view of the practical problems faced by the current multi-sensor data processing and big data applications, the overall architecture design and the construction of core modules of multi-sensor data processing are carried out, including data acquisition, data governance, data storage, real-time computing and big data algorithm, data management, application service center and data security center. The application of multi-sensor data processing in data mining shows that it can meet the requirements of multi-sensor data processing and provide useful reference for multi-sensor data processing.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Mining Technology and Its Application in Multi-sensor Data Processing\",\"authors\":\"Junjun Xu, Yunhui Guo, Jiang Wang\",\"doi\":\"10.1109/ICPECA53709.2022.9718948\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Big data contains huge data value, can effectively promote the development of university information; However, there are many difficulties in the application of big data in multi-sensor data processing. In view of the practical problems faced by the current multi-sensor data processing and big data applications, the overall architecture design and the construction of core modules of multi-sensor data processing are carried out, including data acquisition, data governance, data storage, real-time computing and big data algorithm, data management, application service center and data security center. The application of multi-sensor data processing in data mining shows that it can meet the requirements of multi-sensor data processing and provide useful reference for multi-sensor data processing.\",\"PeriodicalId\":244448,\"journal\":{\"name\":\"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)\",\"volume\":\"2013 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPECA53709.2022.9718948\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPECA53709.2022.9718948","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data Mining Technology and Its Application in Multi-sensor Data Processing
Big data contains huge data value, can effectively promote the development of university information; However, there are many difficulties in the application of big data in multi-sensor data processing. In view of the practical problems faced by the current multi-sensor data processing and big data applications, the overall architecture design and the construction of core modules of multi-sensor data processing are carried out, including data acquisition, data governance, data storage, real-time computing and big data algorithm, data management, application service center and data security center. The application of multi-sensor data processing in data mining shows that it can meet the requirements of multi-sensor data processing and provide useful reference for multi-sensor data processing.