RuleMiner: Data quality rules discovery

Xu Chu, Ihab F. Ilyas, Paolo Papotti, Yin Ye

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

Integrity constraints (ICs) are valuables tools for enforcing correct application semantics. However, manually designing ICs require experts and time, hence the need for automatic discovery. Previous automatic ICs discovery suffer from (1) limited ICs language expressiveness; and (2) time-consuming manual verification of discovered ICs. We introduce RULEMINER, a system for discovering data quality rules that addresses the limitations of existing solutions.

Original languageEnglish (US)
Title of host publication2014 IEEE 30th International Conference on Data Engineering, ICDE 2014
PublisherIEEE Computer Society
Pages1222-1225
Number of pages4
ISBN (Print)9781479925544
DOIs
StatePublished - Jan 1 2014
Event30th IEEE International Conference on Data Engineering, ICDE 2014 - Chicago, IL, United States
Duration: Mar 31 2014Apr 4 2014

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other30th IEEE International Conference on Data Engineering, ICDE 2014
CountryUnited States
CityChicago, IL
Period3/31/144/4/14

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

Cite this

Chu, X., Ilyas, I. F., Papotti, P., & Ye, Y. (2014). RuleMiner: Data quality rules discovery. In 2014 IEEE 30th International Conference on Data Engineering, ICDE 2014 (pp. 1222-1225). [6816746] (Proceedings - International Conference on Data Engineering). IEEE Computer Society. https://doi.org/10.1109/ICDE.2014.6816746