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CEC
2005
IEEE
14 years 1 months ago
Parallel evolutionary algorithms on graphics processing unit
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
Man Leung Wong, Tien-Tsin Wong, Ka-Ling Fok
EDCC
2005
Springer
14 years 1 months ago
A Data Mining Approach to Identify Key Factors in Dependability Experiments
Abstract. Our paper presents a novel approach for identifying the key infrastructural factors determining the behavior of systems in the presence of faults by the application of in...
Gergely Pintér, Henrique Madeira, Marco Vie...
DEXAW
1998
IEEE
116views Database» more  DEXAW 1998»
13 years 12 months ago
Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server
Due to the increasingly di culty of discovering patterns in real-world databases using only conventional OLAP tools, an automated process such as data mining is currently essentia...
Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken
BMCBI
2008
108views more  BMCBI 2008»
13 years 7 months ago
New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic backgroun
Background: Few genetic factors predisposing to the sporadic form of amyotrophic lateral sclerosis (ALS) have been identified, but the pathology itself seems to be a true multifac...
Silvana Penco, Massimo Buscema, Maria Cristina Pat...
EUROCAST
2005
Springer
133views Hardware» more  EUROCAST 2005»
14 years 1 months ago
An Iterative Method for Mining Frequent Temporal Patterns
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especial...
Francisco Guil, Antonio B. Bailón, Alfonso ...