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» Troubleshooting Distributed Systems via Data Mining
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ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
14 years 4 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
14 years 10 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
MOBIHOC
2007
ACM
14 years 9 months ago
Outlier detection in sensor networks
Outlier detection has many important applications in sensor networks, e.g., abnormal event detection, animal behavior change, etc. It is a difficult problem since global informati...
Bo Sheng, Qun Li, Weizhen Mao, Wen Jin
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 3 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
PPOPP
2003
ACM
14 years 2 months ago
Impala: a middleware system for managing autonomic, parallel sensor systems
Sensor networks are long-running computer systems with many sensing/compute nodes working to gather information about their environment, process and fuse that information, and in ...
Ting Liu, Margaret Martonosi