RuleMiner: Data quality rules discovery

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

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

11 Citations (Scopus)

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
Title of host publicationProceedings - International Conference on Data Engineering
PublisherIEEE Computer Society
Pages1222-1225
Number of pages4
ISBN (Print)9781479925544
DOIs
Publication statusPublished - 1 Jan 2014
Event30th IEEE International Conference on Data Engineering, ICDE 2014 - Chicago, IL, United States
Duration: 31 Mar 20144 Apr 2014

Other

Other30th IEEE International Conference on Data Engineering, ICDE 2014
CountryUnited States
CityChicago, IL
Period31/3/144/4/14

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ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Software

Cite this

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