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文章基本信息

  • 标题:Mining of Web Logs Using Preprocessing and Clustering
  • 本地全文:下载
  • 作者:Pankaj M. Meshram ; Prof. Gauri A. Chaudhary
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:12
  • 出版社:S&S Publications
  • 摘要:The data pre-processing plays a major role in efficient mining process as Log data is normally noisy andindistinct. In data pre-processing method the rebuild of session and paths are going to complete by annexing lost pages.Additionally the transaction which explains the behaviour of users made accurate in pre-processing by calculating thetime taken by the user to view particular page is accessed in the form of byte rate. By using web clustering varioustypes of object can be clustered into different groups. The belief function similarity measures in algorithm include theclustering task by Dempster – Shafer’s theory. The main aim of this work is to achieve pre-processing and clustering ofweb log and to improve the website performance.
  • 关键词:Pre-processing; Data Cleaning; Clustering
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