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AUSDM
2006
Springer
100views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Data Mining Methodological Weaknesses and Suggested Fixes
Predictive accuracy claims should give explicit descriptions of the steps followed, with access to the code used. This allows referees and readers to check for common traps, and t...
John H. Maindonald
TOCHI
2010
90views more  TOCHI 2010»
13 years 6 months ago
Potential for personalization
Current Web search tools do a good job of retrieving documents that satisfy the wide range of intentions that people associate with a query – but do not do a very good job of di...
Jaime Teevan, Susan T. Dumais, Eric Horvitz
WCRE
2005
IEEE
14 years 1 months ago
Enriching Reverse Engineering with Semantic Clustering
Understanding a software system by just analyzing the structure of the system reveals only half of the picture, since the structure tells us only how the code is working but not w...
Adrian Kuhn, Stéphane Ducasse, Tudor G&icir...
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
11 years 10 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....
JSW
2007
120views more  JSW 2007»
13 years 7 months ago
Constraint-based Model Transformation: Tracing the Preservation of Semantic Properties
Abstract— We present and evaluate a novel constraintbased model transformation approach that implements a preservation-centric view. The proposed framework comprises formal prese...
Thomas Triebsees