{"title":"网站日志统计测试与分析","authors":"Zhao Yongjian","doi":"10.1109/ICSGEA.2019.00137","DOIUrl":null,"url":null,"abstract":"In a variety of large data sets, the website log is an important data source. Analyzing the website log, one can get a web page views, viscosity, and related recommendations. The Hadoop ecosystem has the characteristics of open source, active community, covering all aspects of big data processing and a mature ecosystem. In this paper, Hadoop series framework is utilized to test and analyze the website access log. The experiment results demonstrate that the proposed technique can analyze and improve user behavior conveniently.","PeriodicalId":201721,"journal":{"name":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Website Log Statistical Testing and Analysis\",\"authors\":\"Zhao Yongjian\",\"doi\":\"10.1109/ICSGEA.2019.00137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In a variety of large data sets, the website log is an important data source. Analyzing the website log, one can get a web page views, viscosity, and related recommendations. The Hadoop ecosystem has the characteristics of open source, active community, covering all aspects of big data processing and a mature ecosystem. In this paper, Hadoop series framework is utilized to test and analyze the website access log. The experiment results demonstrate that the proposed technique can analyze and improve user behavior conveniently.\",\"PeriodicalId\":201721,\"journal\":{\"name\":\"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"volume\":\"234 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSGEA.2019.00137\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2019.00137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In a variety of large data sets, the website log is an important data source. Analyzing the website log, one can get a web page views, viscosity, and related recommendations. The Hadoop ecosystem has the characteristics of open source, active community, covering all aspects of big data processing and a mature ecosystem. In this paper, Hadoop series framework is utilized to test and analyze the website access log. The experiment results demonstrate that the proposed technique can analyze and improve user behavior conveniently.
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