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» Using Data Mining in MURA Graphic Problems
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ICDM
2009
IEEE
111views Data Mining» more  ICDM 2009»
15 years 11 months ago
A Game Theoretical Model for Adversarial Learning
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
Wei Liu, Sanjay Chawla
SDM
2012
SIAM
224views Data Mining» more  SDM 2012»
13 years 6 months ago
Nearest-Neighbor Search on a Time Budget via Max-Margin Trees
Many high-profile applications pose high-dimensional nearest-neighbor search problems. Yet, it still remains difficult to achieve fast query times for state-of-the-art approache...
Parikshit Ram, Dongryeol Lee, Alexander G. Gray
ICDM
2006
IEEE
92views Data Mining» more  ICDM 2006»
15 years 10 months ago
Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams
Data stream values are often associated with multiple aspects. For example, each value from environmental sensors may have an associated type (e.g., temperature, humidity, etc) as...
Jimeng Sun, Spiros Papadimitriou, Philip S. Yu
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 4 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
ICDM
2009
IEEE
129views Data Mining» more  ICDM 2009»
15 years 11 months ago
Extended Boolean Matrix Decomposition
—With the vast increase in collection and storage of data, the problem of data summarization is most critical for effective data management. Since much of this data is categorica...
Haibing Lu, Jaideep Vaidya, Vijayalakshmi Atluri, ...