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IJAR
2010
153views more  IJAR 2010»
14 years 8 months ago
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
For diagnosing dyslexia in early childhood, children have to solve non-writing based, graphical tests. Curently, these tests are processed by a human expert; applying artificial ...
Ana M. Palacios, Luciano Sánchez, Iné...
82
Voted
IDA
2003
Springer
15 years 3 months ago
Obtaining Quality Microarray Data via Image Reconstruction
Abstract. This paper introduces a novel method for processing spotted microarray images, inspired from image reconstruction. Instead of the usual approach that focuses on the signa...
Paul O'Neill, George D. Magoulas, Xiaohui Liu
102
Voted
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
15 years 10 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
WWW
2009
ACM
15 years 11 months ago
Data quality in web archiving
Web archives preserve the history of Web sites and have high long-term value for media and business analysts. Such archives are maintained by periodically re-crawling entire Web s...
Marc Spaniol, Dimitar Denev, Arturas Mazeika, Gerh...
ICS
1993
Tsinghua U.
15 years 2 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,...