Paper Info
Title
Leveraging Currency For Repairing Inconsistent And Incomplete Data (Extended Abstract)
Abstract
With the growth of data from various sources, data quality is faced with multiple problems. In this paper, we study the multiple data cleaning on incompleteness and inconsistency with currency reasoning and determination. We introduce a 4-step method, named Imp3C, for error detection and repair in incomplete and inconsistent data without timestamps. We propose an integrated currency determining approach to compute currency order among tuples, thus, the dirty data can be repaired effectively considering the temporal impact. Experiments on three real-life datasets verify that Imp3C improves data repairing performance with multiple quality problems, especially in datasets with complex currency orders.
Year
DOI
Venue
2021
10.1109/ICDE51399.2021.00243
2021 IEEE 37TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2021)
Keywords
DocType
ISSN
Data cleaning, data quality management, currency determining, temporal data repairing
Conference
1084-4627
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Xiaoou Ding122.38
Hongzhi Wang242173.72
Jiaxuan Su322.05
Muxian Wang400.68
Jianzhong Li56324.23
Hong Gao61086120.07