%0 Journal Article
%T Current state of research on imbalanced data sets classification learning<br>不平衡数据分类的研究现状
%A LIN Zhi-yong
%A HAO Zhi-feng
%A YANG Xiao-wei
%A <br>林智勇
%A 郝志峰
%A 杨晓伟
%J 计算机应用研究
%D 2008
%I 
%X IDS(imbalanced data sets), arising pervasively in practical applications, have caused a huge challenge to the machine learning community and consequently attracted more and more attentions. The paper summarized the state of this relatively new research field, including its issues, methods and results.
%K imbalanced data sets(IDS)
%K machine learning
%K pattern classification<br>不平衡数据
%K 机器学习
%K 模式分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=E89CB504AEF24CC5729973B7E0713E0C&yid=67289AFF6305E306&vid=C5154311167311FE&iid=0B39A22176CE99FB&sid=2E01F39B6CBD53DE&eid=50EA2A80A7D254EF&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=55