Constraint-based concept mining and its application to microarray data analysis

@article{Besson2005ConstraintbasedCM,
  title={Constraint-based concept mining and its application to microarray data analysis},
  author={J{\'e}r{\'e}my Besson and C{\'e}line Robardet and Jean-François Boulicaut and Sophie Rome},
  journal={Intell. Data Anal.},
  year={2005},
  volume={9},
  pages={59-82}
}
We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets, i.e., sets of objects (or transactions) and associated sets of attributes (or items). It improves the state of the art in many application domains where transactional/boolean data are to be mined (e.g., basket analysis, WWW usage mining, gene expression data analysis). The so-called (formal) concepts are important special cases of a priori interesting bi-sets that associate closed sets on… CONTINUE READING
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