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INFOSCALE
2006
ACM
14 years 2 months ago
PENS: an algorithm for density-based clustering in peer-to-peer systems
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and v...
Mei Li, Guanling Lee, Wang-Chien Lee, Anand Sivasu...
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 9 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 9 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
CCGRID
2009
IEEE
14 years 3 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...
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
14 years 3 months ago
The role of game theory in human computation systems
The paradigm of “human computation” seeks to harness human abilities to solve computational problems or otherwise perform distributed work that is beyond the scope of current ...
Shaili Jain, David C. Parkes