DCUBE: CUBE on Dirty Databases
In the real world databases, dirty data such as inconsistent data, du plicate data affect the effectiveness of applications with database. It brings new challenges to efficiently process OLAP on the database with dirty data. CUBE is an important operator for OLAP. This paper proposes the CUBE operation based on overlapping clustering, and an effective and efficient storing and com puting method for CUBE on the database with dirty data. Based on CUBE, this paper proposes efficient algorithms for answering aggregation queries, and the processing methods of other major operators for OLAP on the database with dirty dam. Experimental results show the efficiency of the algorithms presented in this paper.
dirty data CUBE OLAP
Guohua Jiang Hongzhi Wang Shouxu Jiang Jianzhong Li Hong Gao
Institute of Computer Science and Technology, Harbin Insfitute of Technology, 150001 Harbin, China
国际会议
11th International Conference,WAIM 2010(第十一届网络时代管理国际会议)
九寨沟
英文
507-512
2010-07-14(万方平台首次上网日期,不代表论文的发表时间)