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» Improving spatial locality of programs via data mining
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KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 7 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 7 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
JDWM
2006
178views more  JDWM 2006»
13 years 7 months ago
Improved Data Partitioning for Building Large ROLAP Data Cubes in Parallel
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining ta...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
IPPS
2006
IEEE
14 years 1 months ago
Performance analysis of Java concurrent programming: a case study of video mining system
As multi/many core processors become prevalent, programming language is important in constructing efficient parallel applications. In this work, we build a multithreaded video min...
Wenlong Li, Eric Li, Ran Meng, Tao Wang, Carole Du...
KBSE
2009
IEEE
14 years 1 months ago
Evaluating the Accuracy of Fault Localization Techniques
—We investigate claims and assumptions made in several recent papers about fault localization (FL) techniques. Most of these claims have to do with evaluating FL accuracy. Our in...
Shaimaa Ali, James H. Andrews, Tamilselvi Dhandapa...