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154
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KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 7 months ago
GraphScope: parameter-free mining of large time-evolving graphs
How can we find communities in dynamic networks of social interactions, such as who calls whom, who emails whom, or who sells to whom? How can we spot discontinuity timepoints in ...
Jimeng Sun, Christos Faloutsos, Spiros Papadimitri...
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 7 months ago
Exploiting unlabeled data in ensemble methods
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
STOC
2006
ACM
134views Algorithms» more  STOC 2006»
16 years 7 months ago
Byzantine agreement in the full-information model in O(log n) rounds
We present a randomized Byzantine Agreement (BA) protocol with an expected running time of O(log n) rounds, in a synchronous full-information network of n players. For any constan...
Michael Ben-Or, Elan Pavlov, Vinod Vaikuntanathan
289
Voted
VLDB
2007
ACM
181views Database» more  VLDB 2007»
16 years 7 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
184
Voted
ICIAP
2005
ACM
16 years 7 months ago
Interactive, Mobile, Distributed Pattern Recognition
As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative appro...
George Nagy
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