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ICDE
2005
IEEE
176views Database» more  ICDE 2005»
15 years 11 days ago
Optimizing ETL Processes in Data Warehouses
Extraction-Transformation-Loading (ETL) tools are pieces of software responsible for the extraction of data from several sources, their cleansing, customization and insertion into...
Alkis Simitsis, Panos Vassiliadis, Timos K. Sellis
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
14 years 4 months ago
A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization
Abstract. Recent theoretical work helped explain certain optimizationrelated pathologies in cooperative coevolutionary algorithms (CCEAs). Such explanations have led to adopting sp...
Liviu Panait, R. Paul Wiegand, Sean Luke
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
14 years 2 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
DAC
2010
ACM
14 years 18 days ago
Network on chip design and optimization using specialized influence models
In this study, we propose the use of specialized influence models to capture the dynamic behavior of a Network-onChip (NoC). Our goal is to construct a versatile modeling framewor...
Cristinel Ababei
ICMLA
2004
14 years 12 days ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie