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SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 5 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...
CLUSTER
2009
IEEE
15 years 4 months ago
A scalable and generic task scheduling system for communication libraries
Abstract—Since the advent of multi-core processors, the physionomy of typical clusters has dramatically evolved. This new massively multi-core era is a major change in architectu...
François Trahay, Alexandre Denis
SIGSOFT
2005
ACM
16 years 18 days ago
Applying classification techniques to remotely-collected program execution data
There is an increasing interest in techniques that support measurement and analysis of fielded software systems. One of the main goals of these techniques is to better understand ...
Murali Haran, Alan F. Karr, Alessandro Orso, Adam ...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 5 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
CPHYSICS
2007
106views more  CPHYSICS 2007»
14 years 12 months ago
The way towards thermonuclear fusion simulators
In parallel to the ITER project itself, many initiatives address complementary technological issues relevant to a fusion reactor, as well as many remaining scientific issues. One...
A. Bécoulet, Per Strand, H. Wilson, M. Roma...