ICTAI
2003
IEEE
13 years 10 months ago
2003
IEEE
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...
WEA
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
ICCS
2005
Springer
13 years 10 months ago
2005
Springer
The development of efficient parallel algorithms for large scale wildfire simulations is a challenging research problem because the factors that determine wildfire behavior are com...
IPPS
2005
IEEE
13 years 10 months ago
2005
IEEE
We construct parallel algorithms with implementations to solve the clique problem in practice and research their computing time compared with sequential algorithms. The parallel a...
PDP
2006
IEEE
13 years 11 months ago
2006
IEEE
— The Parallel Resource-Optimal (PRO) computation model was introduced by Gebremedhin et al. [2002] as a framework for the design and analysis of efficient parallel algorithms. ...
ICPPW
2006
IEEE
13 years 11 months ago
2006
IEEE
A motion panorama is an efficient and compact representation of the underlying video. However, the motion panorama construction process is computationally intensive and hence extr...
CLUSTER
2006
IEEE
13 years 11 months ago
2006
IEEE
In this work we present a parallel algorithm for the solution of a least squares problem with structured matrices. This problem arises in many applications mainly related to digit...
FOSSACS
2010
Springer
13 years 11 months ago
2010
Springer
For many application-level distributed protocols and parallel algorithms, the set of participants, the number of messages or the interaction structure are only known at run-time. T...
DASFAA
2010
IEEE
13 years 11 months ago
2010
IEEE
Abstract. Until recently algorithms continuously gained free performance improvements due to ever increasing processor speeds. Unfortunately, this development has reached its limit...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...