{"title":"Visit Quantity Forecast of School News Information System for CZ College","authors":"Jianguo Yu, Huaqing Min, Zhipin Cao, Shaowu Peng, Shichao Qu","doi":"10.1109/ICDMA.2012.239","DOIUrl":null,"url":null,"abstract":"System visit quantity forecast is the basic aspect which needs consider when develops the basic aspect which needs consider when school news information system is developed, and is important function of the system. In the paper, effect factor of visit quantity of school news information system is analyzed, and visit quantity is forecasted. Different person amounts are respectively forecasted with weight mobbing average method, exponential smoothing method and other methods. The relation between visit quantity and person amount is analyzed and the mathematical models are set up. Visit quantity is forecasted next year with causal analysis method.","PeriodicalId":393655,"journal":{"name":"International Conference on Digital Manufacturing and Automation","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Digital Manufacturing and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMA.2012.239","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
System visit quantity forecast is the basic aspect which needs consider when develops the basic aspect which needs consider when school news information system is developed, and is important function of the system. In the paper, effect factor of visit quantity of school news information system is analyzed, and visit quantity is forecasted. Different person amounts are respectively forecasted with weight mobbing average method, exponential smoothing method and other methods. The relation between visit quantity and person amount is analyzed and the mathematical models are set up. Visit quantity is forecasted next year with causal analysis method.