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IQ
2007
13 years 7 months ago
A Framework And A Methodology For Data Quality Assessment And Monitoring
: Data quality (DQ) is emerging as a new relevant area for the improvement of the effectiveness of organizations. Despites the consequences of poor quality of data are often experi...
Carlo Batini, Daniele Barone, Michele Mastrella, A...
ICDE
2007
IEEE
133views Database» more  ICDE 2007»
13 years 12 months ago
Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario
We propose a data warehousing architecture for effective risk analysis in a banking scenario. The core of the architecture consists in two data mining tools for improving the qual...
Gianni Costa, Francesco Folino, Antonio Locane, Gi...
PVLDB
2008
127views more  PVLDB 2008»
13 years 5 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
REFSQ
2010
Springer
13 years 3 months ago
Challenges in Aligning Requirements Engineering and Verification in a Large-Scale Industrial Context
[Context and motivation] When developing software, coordination between different organizational units is essential in order to develop a good quality product, on time and within b...
Giedre Sabaliauskaite, Annabella Loconsole, Emelie...
CBMS
2009
IEEE
14 years 14 days ago
Enabling effective curation of cancer biomarker research data
The dramatic increase in data in the area of cancer research has elevated the importance of effectively managing the quality and consistency of research results from multiple prov...
Andrew F. Hart, Chris Mattmann, John J. Tran, Dani...