DocumentCode :
140962
Title :
RuleMiner: Data quality rules discovery
Author :
Xu Chu ; Ilyas, I.F. ; Papotti, P. ; Yin Ye
Author_Institution :
Univ. of Waterloo, Waterloo, ON, Canada
fYear :
2014
fDate :
March 31 2014-April 4 2014
Firstpage :
1222
Lastpage :
1225
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2014 IEEE 30th International Conference on
Conference_Location :
Chicago, IL
Type :
conf
DOI :
10.1109/ICDE.2014.6816746
Filename :
6816746
Link To Document :
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