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» Classes and clusters in data analysis
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AAI
2007
132views more  AAI 2007»
13 years 10 months ago
Incremental Extraction of Association Rules in Applicative Domains
In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately with a single query...
Arianna Gallo, Roberto Esposito, Rosa Meo, Marco B...
ALMOB
2007
74views more  ALMOB 2007»
13 years 10 months ago
Evaluating deterministic motif significance measures in protein databases
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
Pedro Gabriel Ferreira, Paulo J. Azevedo
BMCBI
2006
169views more  BMCBI 2006»
13 years 9 months ago
Beyond microarrays: Finding key transcription factors controlling signal transduction pathways
Background: Massive gene expression changes in different cellular states measured by microarrays, in fact, reflect just an "echo" of real molecular processes in the cell...
Alexander E. Kel, Nico Voss, Ruy Jauregui, Olga V....
CGA
2007
13 years 9 months ago
From Abstract Painting to Information Visualization
abstract painting and practice can benefit information visualization—even though the two fields have significantly different objectives. This comparison reflects the spirit of ...
Kang Zhang
PAMI
2000
142views more  PAMI 2000»
13 years 9 months ago
Evolutionary Pursuit and Its Application to Face Recognition
Abstract-- This paper introduces Evolutionary Pursuit (EP) as a novel and adaptive representation method for image encoding and classification. In analogy to projection pursuit met...
Chengjun Liu, Harry Wechsler