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PVLDB
2008
127views more  PVLDB 2008»
15 years 6 months ago
Discovering data quality rules
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often ari...
Fei Chiang, Renée J. Miller
GIS
2010
ACM
15 years 4 months ago
Using location based social networks for quality-aware participatory data transfer
The sensing systems that monitor physical environments rely on communication infrastructures (wired or wireless) to collect data from the sensors embedded in the environment. Howe...
Houtan Shirani-Mehr, Farnoush Banaei Kashani, Cyru...
SIGMOD
2011
ACM
205views Database» more  SIGMOD 2011»
14 years 9 months ago
Interaction between record matching and data repairing
Central to a data cleaning system are record matching and data repairing. Matching aims to identify tuples that refer to the same real-world object, and repairing is to make a dat...
Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Weny...
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 9 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
IQ
1996
15 years 7 months ago
Data Quality in Practice: Experience from the Front Line
Information, stored in databases, is a key competitive advantage of many companies. However, this importance does not imply that managers will view data as a strategic resource or...
Christopher P. Firth