###
DOI:
Journal of Software:2005.16(7):1282-1288

基于奇异值分解的异常切片挖掘
遇辉,马秀莉,谭少华,唐世渭,杨冬青
(北京大学,信息科学技术学院,北京,100871;北京大学,视觉与听觉信息处理国家重点实验室,北京,100871)
Exceptional Slices Mining Based on Singular Value Decomposition
YU Hui,MA Xiu-Li,TAN Shao-Hua,TANG Shi-Wei,YANG Dong-Qing
()
Abstract
Chart / table
Reference
Similar Articles
Article :Browse 2668   Download 3232
Received:July 16, 2004    Revised:March 11, 2005
> 中文摘要: 切片操作是联机分析处理的主要功能之一,在决策支持应用中发挥着重要作用.由于人工的切片过程非常低效,且易忽略重要信息,提出了一种自动、智能的异常切片挖掘方法.该方法基于奇异值分解技术来提取切片的数据分布特征,然后在提取出的奇异值特征之上,利用基于距离的孤立点检测技术发现异常的切片.在人工生成的数据和实际应用的切片数据上所作的实验结果都表明了该方法的高效性和可行性.
Abstract: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.
文章编号:     中图分类号:    文献标志码:
基金项目:Supported by the National Natural Science Foundation of China under Grant Nos.60473051, 60473072 (国家自然科学基金) Supported by the National Natural Science Foundation of China under Grant Nos.60473051, 60473072 (国家自然科学基金)
Foundation items:
Reference text:

遇辉,马秀莉,谭少华,唐世渭,杨冬青.基于奇异值分解的异常切片挖掘.软件学报,2005,16(7):1282-1288

YU Hui,MA Xiu-Li,TAN Shao-Hua,TANG Shi-Wei,YANG Dong-Qing.Exceptional Slices Mining Based on Singular Value Decomposition.Journal of Software,2005,16(7):1282-1288