{"title":"利用网络日志数据预测和改进高校导航大纲程序","authors":"A. Sivakumaran, P. Marikkannu","doi":"10.1504/IJCAET.2019.10020287","DOIUrl":null,"url":null,"abstract":"Web mining (WM) is the programmed disclosure of client access design from web servers. Universities gather vast volumes of data in their day by day operations, produced naturally by web servers and gathered in server access logs. The research shows the forecasting and enhancing universities navigation from web log data (F&E-UN-WLD). In the primary stage, F&E-UN-WLD concentrates on isolating the potential clients in web log data (WLD). Trial comes about speak about methodology can enhance the quality of grouping for client route design in web utilisation mining frameworks. These outcomes can be utilised for foreseeing client's next solicitation in the tremendous web destinations.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Forecasting and enhancing universities navigation outline procedure from web log data\",\"authors\":\"A. Sivakumaran, P. Marikkannu\",\"doi\":\"10.1504/IJCAET.2019.10020287\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Web mining (WM) is the programmed disclosure of client access design from web servers. Universities gather vast volumes of data in their day by day operations, produced naturally by web servers and gathered in server access logs. The research shows the forecasting and enhancing universities navigation from web log data (F&E-UN-WLD). In the primary stage, F&E-UN-WLD concentrates on isolating the potential clients in web log data (WLD). Trial comes about speak about methodology can enhance the quality of grouping for client route design in web utilisation mining frameworks. These outcomes can be utilised for foreseeing client's next solicitation in the tremendous web destinations.\",\"PeriodicalId\":346646,\"journal\":{\"name\":\"Int. J. Comput. Aided Eng. Technol.\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Comput. Aided Eng. Technol.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJCAET.2019.10020287\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Comput. Aided Eng. Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJCAET.2019.10020287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Forecasting and enhancing universities navigation outline procedure from web log data
Web mining (WM) is the programmed disclosure of client access design from web servers. Universities gather vast volumes of data in their day by day operations, produced naturally by web servers and gathered in server access logs. The research shows the forecasting and enhancing universities navigation from web log data (F&E-UN-WLD). In the primary stage, F&E-UN-WLD concentrates on isolating the potential clients in web log data (WLD). Trial comes about speak about methodology can enhance the quality of grouping for client route design in web utilisation mining frameworks. These outcomes can be utilised for foreseeing client's next solicitation in the tremendous web destinations.
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