{"title":"Intelligent System Construction and Data Analysis of Social Service Platform in Vocational Colleges","authors":"Guojing Zhang","doi":"10.1109/ICOEI51242.2021.9452739","DOIUrl":null,"url":null,"abstract":"Intelligent system construction and data analysis of social service platform in vocational colleges is studied. There are many theories and methods related to data preprocessing, and they have been applied in many fields. In the process of data collection, it will be affected by the environment, usage and other aspects, resulting in the collected data can not be directly processed as an ideal sample. Hence, the PCA is applied for the data dimensional reduction, and the data distribution pattern is then considered for the comprehensive modelling. The application scenario is selected as the social service platform. The data is studied based on the integration of the theoretical model. The accuracy and efficiency are both improved.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"1 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/ICOEI51242.2021.9452739","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Intelligent system construction and data analysis of social service platform in vocational colleges is studied. There are many theories and methods related to data preprocessing, and they have been applied in many fields. In the process of data collection, it will be affected by the environment, usage and other aspects, resulting in the collected data can not be directly processed as an ideal sample. Hence, the PCA is applied for the data dimensional reduction, and the data distribution pattern is then considered for the comprehensive modelling. The application scenario is selected as the social service platform. The data is studied based on the integration of the theoretical model. The accuracy and efficiency are both improved.