文章基本信息

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 等
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.