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ICDE
2009
IEEE
202views Database» more  ICDE 2009»
16 years 8 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
ICS
1993
Tsinghua U.
15 years 11 months ago
Graph Contraction for Physical Optimization Methods: A Quality-Cost Tradeoff for Mapping Data on Parallel Computers
Mapping data to parallel computers aims at minimizing the execution time of the associated application. However, it can take an unacceptable amount of time in comparison with the ...
Nashat Mansour, Ravi Ponnusamy, Alok N. Choudhary,...
CIA
2001
Springer
15 years 11 months 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»
15 years 10 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...
168
Voted
IQ
2001
15 years 8 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, ...