%0 Journal Article
%T Exceptional Slices Mining Based on Singular Value Decomposition<br>基于奇异值分解的异常切片挖掘
%A YU Hui
%A MA Xiu-Li
%A TAN Shao-Hu
%A TANG Shi-Wei
%A YANG Dong-Qing
%A <br>遇辉
%A 马秀莉
%A 谭少华
%A 唐世渭
%A 杨冬青
%J 软件学报
%D 2005
%I 
%X Slice is one of the major operations in on-line analysis processing, which has played an important role in the application of decision support. In this paper, a method of mining exceptional slices is presented for extracting the distribution feature of the slice data based on the technique of the singular value decomposition, and the exceptional slices can be found by utilizing the distance-based outlier detection technique on the singular value feature. The effectiveness of the approach is experimentally demonstrated on the artificial data and the real slices data.
%K exceptional slices mining
%K feature extraction
%K singular value feature vector
%K distance-based outlier detection
%K on-line analytical processing<br>异常切片挖掘
%K 特征提取
%K 奇异值特征向量
%K 基于距离的孤立点检测
%K 联机分析处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=68193AF49009A346&yid=2DD7160C83D0ACED&vid=7801E6FC5AE9020C&iid=DF92D298D3FF1E6E&sid=7CF64E95CEC38520&eid=55C36125E841856F&journal_id=1000-9825&journal_name=软件学报&referenced_num=2&reference_num=11