Abstract:
Data cleansing is to detect errornous,missing or inconsistent data,which can be removed,filled or corrected to improve data quality.Aiming at the selection-projection-join operations on the tuple-level uncertain data tables,in this paper we gave the algorithms for constructing Frames of Discernment and computing the evidence intervals based on the corresponding concepts in the D-S evidence theory.Then,we proposed the method for detecting errornous data in the query results based on the evidence interval of the target data items.Experimental results show that our proposed method is efficient,accurate and applicable.