WEKA-Experiences with a Java']Java Open-Source Project

被引：0
|
作者：
Bouckaert, Remco R. [1 ]
Frank, Eibe [1 ]
Hall, Mark A. [1 ]
Holmes, Geoffrey [1 ]
Pfahringer, Bernhard [1 ]
Reutemann, Peter [1 ]
Witten, Ian H. [1 ]
机构：
[1] Univ Waikato, Dept Comp Sci, Hamilton, New Zealand
来源：
JOURNAL OF MACHINE LEARNING RESEARCH | 2010年 / 11卷
关键词：
machine learning software; open source software;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
WEKA is a popular machine learning workbench with a development life of nearly two decades. This article provides an overview of the factors that we believe to be important to its success. Rather than focussing on the software's functionality, we review aspects of project management and historical development decisions that likely had an impact on the uptake of the project.
引用
收藏
页码：2533 / 2541
页数：9
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