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» Scalable Parallel Data Mining for Association Rules
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CEC
2008
IEEE
13 years 7 months ago
Design and implementation of a patterns recognition system for analysis of biological liquids
Given the great amount of data that are generated of the experiments to analyze information of extracted chemical fluids of the brain of a rodent, arises the necessity to design an...
Jose Aguilar, Luis Hernandez, Anny Olivar
MICRO
2006
IEEE
191views Hardware» more  MICRO 2006»
13 years 7 months ago
CAPSULE: Hardware-Assisted Parallel Execution of Component-Based Programs
Since processor performance scalability will now mostly be achieved through thread-level parallelism, there is a strong incentive to parallelize a broad range of applications, inc...
Pierre Palatin, Yves Lhuillier, Olivier Temam
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 10 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 8 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
14 years 1 months ago
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
Loïck Lhote, François Rioult, Arnaud S...