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227
Voted
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
13 years 2 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
13 years 2 months ago
Granger Causality Analysis in Irregular Time Series
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Mohammad Taha Bahadori, Yan Liu
137
Voted
SDM
2012
SIAM
340views Data Mining» more  SDM 2012»
13 years 2 months ago
IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical Systems
A Cyber-Physical System (CPS) integrates physical (i.e., sensor) devices with cyber (i.e., informational) components to form a situation-aware system that responds intelligently t...
Lu An Tang, Quanquan Gu, Xiao Yu, Jiawei Han, Thom...
136
Voted
SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
13 years 2 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
SDM
2012
SIAM
312views Data Mining» more  SDM 2012»
13 years 2 months ago
Drought Detection of the Last Century: An MRF-based Approach
Droughts are one of the most damaging climate-related hazards. The late 1960s Sahel drought in Africa and the North American Dust Bowl of the 1930s are two examples of severe drou...
Qiang Fu, Arindam Banerjee, Stefan Liess, Peter K....
Data Mining
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