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SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
14 years 3 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
IPL
2002
65views more  IPL 2002»
13 years 9 months ago
Parallel evolutionary algorithms can achieve super-linear performance
One of the main reasons for using parallel evolutionary algorithms (PEAs) is to obtain efficient algorithms with an execution time much lower than that of their sequential counter...
Enrique Alba
FOCS
1991
IEEE
14 years 1 months ago
A parallel algorithmic version of the Local Lemma
The Lov´asz Local Lemma is a tool that enables one to show that certain events hold with positive, though very small probability. It often yields existence proofs of results with...
Noga Alon
ENTCS
2008
66views more  ENTCS 2008»
13 years 10 months ago
Measuring and Evaluating Parallel State-Space Exploration Algorithms
We argue in this paper that benchmarking should be complemented by direct measurement of parallelisation overheads when evaluating parallel state-space exploration algorithms. Thi...
Jonathan Ezekiel, Gerald Lüttgen
PAAPP
2006
71views more  PAAPP 2006»
13 years 10 months ago
An efficient parallel termination detection algorithm
Abstract: In this paper, we present a new, easy to implement algorithm for detecting the termination of a parallel asynchronous computation on distributedmemory MIMD computers. We ...
Allison H. Baker, Silvia A. Crivelli, Elizabeth R....