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PPOPP
2005
ACM
14 years 1 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
APPT
2009
Springer
14 years 2 months ago
Evaluating SPLASH-2 Applications Using MapReduce
MapReduce has been prevalent for running data-parallel applications. By hiding other non-functionality parts such as parallelism, fault tolerance and load balance from programmers,...
Shengkai Zhu, Zhiwei Xiao, Haibo Chen, Rong Chen, ...
ICDE
1999
IEEE
209views Database» more  ICDE 1999»
14 years 9 months ago
Parallel Classification for Data Mining on Shared-Memory Multiprocessors
We present parallel algorithms for building decision-tree classifiers on shared-memory multiprocessor (SMP) systems. The proposed algorithms span the gamut of data and task parall...
Mohammed Javeed Zaki, Ching-Tien Ho, Rakesh Agrawa...
SP
2002
IEEE
114views Security Privacy» more  SP 2002»
13 years 7 months ago
Efficiently building on-line tools for distributed heterogeneous environments
Software development is getting more and more complex, especially within distributed middleware-based environments. A major drawback during the overall software development proces...
Günther Rackl, Thomas Ludwig 0002, Markus Lin...
IPPS
2008
IEEE
14 years 2 months ago
Evaluation of dynamic scheduling methods in simulations of storm-time ion acceleration
In this paper we investigate the applicability of classic dynamic loop scheduling methods on a numerical simulation code that calculates the trajectories of charged particles in t...
Ioannis Riakiotakis, Georgios I. Goumas, Nectarios...