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  • 标题:Regression model for Quality of Web Services dataset with WEKA
  • 本地全文:下载
  • 作者:Shalini Gambhir ; Puneet Arora ; Jatin Gambhir
  • 期刊名称:International Journal of Electronics and Computer Science Engineering
  • 电子版ISSN:2277-1956
  • 出版年度:2013
  • 卷号:2
  • 期号:3
  • 页码:927-932
  • 出版社:Buldanshahr : IJECSE
  • 摘要:The Waikato Environment for Knowledge Analysis (WEKA) came about through the perceived need for a unified workbench that would allow researchers easy access to state-of the-art techniques in machine learning algorithms for data mining tasks. It provides a general-purpose environment for automatic classification, regression, clustering, and feature selection etc. in various research areas. This paper provides an introduction to the WEKA workbench and briefly discusses regression model for some of the quality of web service parameters.
  • 关键词:WEKA; Data Preparation; Data Analysis; QWS Dataset; Linear Regression Model.
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