摘要
分析了Weka平台的基础类结构,说明了数据运算的整体流程,并以基于频繁模式的离群点检测为例,说明了对Weka进行扩展的方法,为数据挖掘研究和应用者自定义算法实现提供基础。
In this paper,the structure of Weka＇s foundation classes are analyzed,its basic data processing protocol is illustrated,and an empirical study on extending Weka is directed by outlier detection based on frequent pattern. The reusable model is also provided for implementing customized algorithms on Weka platform.
出处
《南阳理工学院学报》
2009年第6期9-11,共3页
Journal of Nanyang Institute of Technology
