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EDBT
2000
ACM
14 years 13 days ago
Quality Assessment and Uncertainty Handling in Data Mining Process
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
Maria Halkidi
CIA
2001
Springer
14 years 18 days ago
Data Warehouse Quality and Agent Technology
Trees for Multiple Abstraction Levels of Data . . . . . . . . . . . . . . . . . . . . . 76 D. Lee, M. Jeong (Korea)
Matthias Jarke
KDD
1995
ACM
95views Data Mining» more  KDD 1995»
13 years 11 months ago
Limits on Learning Machine Accuracy Imposed by Data Quality
Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chian...
IQ
2001
13 years 9 months ago
Improving the Quality of Corporate Household Data: Current Practices and Research Directions
: Corporate household data not only refers to the strict hierarchical structure about and within the corporation, but also the variety of inter-organizational relationships. It is ...
Stuart E. Madnick, Richard Y. Wang, Frank Dravis, ...
BMCBI
2010
105views more  BMCBI 2010»
13 years 8 months ago
Effects of scanning sensitivity and multiple scan algorithms on microarray data quality
Background: Maximizing the utility of DNA microarray data requires optimization of data acquisition through selection of an appropriate scanner setting. To increase the amount of ...
Andrew Williams, Errol M. Thomson