Title :
RuleMiner: Data quality rules discovery
Author :
Xu Chu ; Ilyas, I.F. ; Papotti, P. ; Yin Ye
Author_Institution :
Univ. of Waterloo, Waterloo, ON, Canada
fDate :
March 31 2014-April 4 2014
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.
Keywords :
data mining; IC; RuleMiner; application semantics; data quality rules discovery; integrity constraints; Cleaning; Data mining; Inference algorithms; Itemsets; Java; Remuneration;
Conference_Titel :
Data Engineering (ICDE), 2014 IEEE 30th International Conference on
Conference_Location :
Chicago, IL
DOI :
10.1109/ICDE.2014.6816746