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ICTAI
2003
IEEE
15 years 8 months ago
Parallel Mining of Maximal Frequent Itemsets from Databases
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
Soon Myoung Chung, Congnan Luo
PPOPP
2012
ACM
13 years 10 months ago
Better speedups using simpler parallel programming for graph connectivity and biconnectivity
Speedups demonstrated for finding the biconnected components of a graph: 9x to 33x on the Explicit Multi-Threading (XMT) many-core computing platform relative to the best serial ...
James A. Edwards, Uzi Vishkin
PPOPP
2005
ACM
15 years 8 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...
IPPS
1997
IEEE
15 years 7 months ago
Optimizing Parallel Bitonic Sort
Sorting is an important component of many applications, and parallel sorting algorithms have been studied extensively in the last three decades. One of the earliest parallel sorti...
Mihai F. Ionescu
IPPS
2010
IEEE
15 years 1 months ago
Highly scalable parallel sorting
Sorting is a commonly used process with a wide breadth of applications in the high performance computing field. Early research in parallel processing has provided us with comprehen...
Edgar Solomonik, Laxmikant V. Kalé