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» Abox Inference for Large Scale OWL-Lite Data
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PDP
2011
IEEE
12 years 11 months ago
Transport Optimization in Peer-to-Peer Networks
Abstract—The peer-to-peer networking concept has revolutionized the cost structure of Internet data dissemination by making large scale content delivery with low server cost feas...
Konstantin Miller, Adam Wolisz
NIPS
2008
13 years 9 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
SP
2008
IEEE
122views Security Privacy» more  SP 2008»
13 years 7 months ago
Large-scale phylogenetic analysis on current HPC architectures
Abstract. Phylogenetic inference is considered a grand challenge in Bioinformatics due to its immense computational requirements. The increasing popularity and availability of larg...
Michael Ott, Jaroslaw Zola, Srinivas Aluru, Andrew...
CORR
2012
Springer
227views Education» more  CORR 2012»
12 years 3 months ago
Trajectory and Policy Aware Sender Anonymity in Location Based Services
We consider Location-based Service (LBS) settings, where a LBS provider logs the requests sent by mobile device users over a period of time and later wants to publish/share these ...
Alin Deutsch, Richard Hull, Avinash Vyas, Kevin Ke...
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
14 years 8 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...