{"title":"web环境下基于灰色预测模型的数据挖掘方法","authors":"Hui Peng","doi":"10.1109/SKG.2006.2","DOIUrl":null,"url":null,"abstract":"This paper proposes a prediction approach that combines grey prediction model with three-layer computing architecture in Web environment. It presents a refined prediction formula to enhance the scalability and usage scope of the Web prediction systems. It layouts a three layer architecture for the Web prediction system to reduce the network traffic and maintain load balance. A traffic decision support system is presented to illustrate the proposed approach.","PeriodicalId":210294,"journal":{"name":"2006 Semantics, Knowledge and Grid, Second International Conference on","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A data mining approach based on Grey prediction model in web environment\",\"authors\":\"Hui Peng\",\"doi\":\"10.1109/SKG.2006.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a prediction approach that combines grey prediction model with three-layer computing architecture in Web environment. It presents a refined prediction formula to enhance the scalability and usage scope of the Web prediction systems. It layouts a three layer architecture for the Web prediction system to reduce the network traffic and maintain load balance. A traffic decision support system is presented to illustrate the proposed approach.\",\"PeriodicalId\":210294,\"journal\":{\"name\":\"2006 Semantics, Knowledge and Grid, Second International Conference on\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 Semantics, Knowledge and Grid, Second International Conference on\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SKG.2006.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 Semantics, Knowledge and Grid, Second International Conference on","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SKG.2006.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A data mining approach based on Grey prediction model in web environment
This paper proposes a prediction approach that combines grey prediction model with three-layer computing architecture in Web environment. It presents a refined prediction formula to enhance the scalability and usage scope of the Web prediction systems. It layouts a three layer architecture for the Web prediction system to reduce the network traffic and maintain load balance. A traffic decision support system is presented to illustrate the proposed approach.