Two FCA-Based Methods for Mining Gene Expression Data
From MaRDI portal
Publication:3630247
DOI10.1007/978-3-642-01815-2_19zbMath1248.68408OpenAlexW1572812727WikidataQ57274417 ScholiaQ57274417MaRDI QIDQ3630247
Mehdi Kaytoue, Amedeo Napoli, Sébastien Duplessis, Sergei O. Kuznetsov
Publication date: 3 June 2009
Published in: Formal Concept Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-642-01815-2_19
Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30) Genetics and epigenetics (92D10)
Related Items (12)
Metric generalization of classification algorithms based on formal concept analysis ⋮ Interface between logical analysis of data and formal concept analysis ⋮ A general theory of concept lattice with tractable implication exploration ⋮ Pruning techniques in lincbo for the computation of the duquenne-guigues basis ⋮ Scaling dimension ⋮ L-concept lattices with positive and negative attributes: modeling uncertainty and reduction of size ⋮ Gene Expression Array Exploration Using $\mathcal{K}$ -Formal Concept Analysis ⋮ Biclustering Numerical Data in Formal Concept Analysis ⋮ A greedy clustering algorithm based on interval pattern concepts and the problem of optimal box positioning ⋮ Biclustering meets triadic concept analysis ⋮ Viewing Morphisms Between Pattern Structures via Their Concept Lattices and via Their Representations ⋮ Decision concept lattice vs. decision trees and random forests
This page was built for publication: Two FCA-Based Methods for Mining Gene Expression Data