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» Troubleshooting Distributed Systems via Data Mining
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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 10 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 10 months ago
Efficient anonymity-preserving data collection
The output of a data mining algorithm is only as good as its inputs, and individuals are often unwilling to provide accurate data about sensitive topics such as medical history an...
Justin Brickell, Vitaly Shmatikov
DEBS
2008
ACM
13 years 11 months ago
Event dissemination via group-aware stream filtering
We consider a distributed system that disseminates highvolume event streams to many simultaneous monitoring applications over a low-bandwidth network. For bandwidth efficiency, we...
Ming Li, David Kotz
OSDI
2004
ACM
14 years 10 months ago
CP-Miner: A Tool for Finding Copy-paste and Related Bugs in Operating System Code
Copy-pasted code is very common in large software because programmers prefer reusing code via copy-paste in order to reduce programming effort. Recent studies show that copy-paste...
Zhenmin Li, Shan Lu, Suvda Myagmar, Yuanyuan Zhou
CCGRID
2009
IEEE
14 years 4 months ago
Multi-scale Real-Time Grid Monitoring with Job Stream Mining
—The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward Autonomic Computing. A first step toward A...
Xiangliang Zhang, Michèle Sebag, Céc...