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» Using Formal Concept Analysis for Microarray Data Comparison
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APBC
2007
13 years 6 months ago
Using Formal Concept Analysis for Microarray Data Comparison
V. Choi, Y. Huang, Vy Lam, D. Potter, Reinhard C. ...
CLA
2004
13 years 6 months ago
Binary Factor Analysis with Help of Formal Concepts
Binary factor analysis (BFA, also known as Boolean Factor Analysis) is a nonhierarchical analysis of binary data, based on reduction of binary space dimension. It allows us to find...
Ales Keprt, Václav Snásel
PAKDD
2004
ACM
117views Data Mining» more  PAKDD 2004»
13 years 10 months ago
Constraint-Based Mining of Formal Concepts in Transactional Data
We are designing new data mining techniques on boolean contexts to identify a priori interesting concepts, i.e., closed sets of objects (or transactions) and associated closed sets...
Jérémy Besson, Céline Robarde...
BMCBI
2006
150views more  BMCBI 2006»
13 years 5 months ago
Instance-based concept learning from multiclass DNA microarray data
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
MDAI
2009
Springer
13 years 9 months ago
Comparison of Data Structures for Computing Formal Concepts
Presented is preliminary study of the role of data structures in algorithms for formal concept analysis. Studied is performance of selected algorithms in dependence on chosen data ...
Petr Krajca, Vilém Vychodil