Conference
datumPIPE
Abstract
Organizations use data to support different business processes. Data may become unclean because of corruptions in the central quality aspects due to factors such as duplicate records, outdated data, inconsistent values, incomplete information, or inaccurate values. Real datasets are usually not available for reasons such as privacy constraints. In the existing systems that generate or corrupt synthetic data, the intrinsic characteristics of …
Authors
Al-janabi S; Hamid A; Janicki R
Pagination
pp. 589-592
Publisher
Association for Computing Machinery (ACM)
Publication Date
July 31, 2017
DOI
10.1145/3110025.3120958
Name of conference
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017