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» Techniques of Cluster Algorithms in Data Mining
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IPPS
1999
IEEE
15 years 6 months ago
High-Performance Knowledge Extraction from Data on PC-Based Networks of Workstations
The automatic construction of classi ers programs able to correctly classify data collected from the real world is one of the major problems in pattern recognition and in a wide ar...
Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bell...
GI
2009
Springer
14 years 11 months ago
Modelling Missing Values for Audience Measurement in Outdoor Advertising Using GPS Data
Abstract: GPS technology has made it possible to evaluate the performance of outdoor advertising campaigns in an objective manner. Given the GPS trajectories of a sample of test pe...
Michael May, Christine Körner, Dirk Hecker, M...
VIS
2006
IEEE
100views Visualization» more  VIS 2006»
16 years 3 months ago
Visualizing Abstract Data Using Animation
ing Abstract Data Using Animation Amit P. Sawant Department of Computer Science, North Carolina State University Christopher G. Healey Department of Computer Science, North Carolin...
Amit Sawant, Christopher Healey
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 8 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
EVOW
2005
Springer
15 years 7 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler