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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 11 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
HIPC
2003
Springer
14 years 2 months ago
Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...
CORR
2010
Springer
174views Education» more  CORR 2010»
13 years 9 months ago
Hybrid Numerical Solution of the Chemical Master Equation
We present a numerical approximation technique for the analysis of continuous-time Markov chains that describe networks of biochemical reactions and play an important role in the ...
Thomas A. Henzinger, Maria Mateescu, Linar Mikeev,...
EUROPAR
2008
Springer
13 years 10 months ago
Fault-Tolerant Partial Replication in Large-Scale Database Systems
We investigate a decentralised approach to committing transactions in a replicated database, under partial replication. Previous protocols either reexecute transactions entirely an...
Pierre Sutra, Marc Shapiro
ECML
1997
Springer
14 years 29 days ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen