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TSMC
2010
13 years 2 months ago
Uncertainty Evaluation Through Mapping Identification in Intensive Dynamic Simulations
We study how the dependence of a simulation output on an uncertain parameter can be determined, when simulations are computationally expensive and so can only be run for very few p...
Yan Wan, Sandip Roy, Bernard C. Lesieutre
CIKM
2008
Springer
13 years 10 months ago
The patent mining task in the seventh NTCIR workshop
This paper introduces the Patent Mining Task of the Seventh NTCIR Workshop and the test collections produced in this task. The task's goal was the classification of research ...
Hidetsugu Nanba, Atsushi Fujii, Makoto Iwayama, Ta...
ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
14 years 2 months ago
Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference
Selecting promising queries is the key to effective active learning. In this paper, we investigate selection techniques for the task of learning an equivalence relation where the ...
Steffen Rendle, Lars Schmidt-Thieme
KDD
2006
ACM
128views Data Mining» more  KDD 2006»
14 years 8 months ago
Workload-aware anonymization
Protecting data privacy is an important problem in microdata distribution. Anonymization algorithms typically aim to protect individual privacy, with minimal impact on the quality...
Kristen LeFevre, David J. DeWitt, Raghu Ramakrishn...
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 9 months ago
LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
Charu C. Aggarwal, Philip S. Yu