RuleMiner: Data quality rules discovery

Proceedings - International Conference on Data Engineering

Volumn , Issue , 2014, Pages 1222-1225

  Chu, Xu ^a   Ilyas, Ihab F ^a   Papotti, Paolo ^b   Ye, Yin ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b QATAR COMPUTING RESEARCH INSTITUTE   (Qatar)

Author keywords

[No Author keywords available]

Indexed keywords

ENGINEERING; INDUSTRIAL ENGINEERING;

APPLICATION SEMANTICS; AUTOMATIC DISCOVERY; DATA QUALITY; INTEGRITY CONSTRAINTS; RULES DISCOVERY;

SEMANTICS;

EID: 84901784972     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2014.6816746     Document Type: Conference Paper

References (7)

1. R. Agrawal, T. Imielinski, and A. N. Swami. Mining association rules between sets of items in large databases. In SIGMOD, 1993.
2. C. M. Bishop. Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag, 2006.
3. X. Chu, I. F. Ilyas, and P. Papotti. Discovering denial constraints. PVLDB, 6(13), 2013.
4. X. Chu, I. F. Ilyas, and P. Papotti. Holistic data cleaning: Putting violations into context. In ICDE, 2013.
5. D. Deroos, C. Eaton, G. Lapis, P. Zikopoulos, and T. Deutsch. Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. McGraw-Hill, 2011.
6. A. Ebaid, A. Elmagarmid, I. F. Ilyas, M. Ouzzani, J.-A. Quiane-Ruiz, N. Tang, and S. Yin. Nadeef: A generalized data cleaning system. PVLDB, 6(12), 2013.
7. W. Fan and F. Geerts. Foundations of Data Quality Management. Morgan & Claypool Publishers, 2012.