Ordre et Classification, Algèbre et Combinatoire, 1970. ,
Fuzzy Relational Systems: Foundations and Principles, 2002. ,
DOI : 10.1007/978-1-4615-0633-1
Evaluation of IPAQ questionnaires supported by formal concept analysis???, Information Sciences, vol.181, issue.10, 2010. ,
DOI : 10.1016/j.ins.2010.04.011
Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data, In Silico Biology, vol.7, issue.45, pp.467-483, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00294025
Generalized Formal Concept Analysis, LNCS, vol.1867, pp.357-370, 2000. ,
DOI : 10.1007/10722280_25
Biclustering of Expression Data, Proc. 8th International Conference on Intelligent Systems for Molecular Biology (ISBM), pp.93-103, 2000. ,
A Logical Generalization of Formal Concept Analysis, ICCS, pp.371-384, 2000. ,
Pattern Structures and Their Projections, ICCS, pp.129-142, 2001. ,
DOI : 10.1007/3-540-44583-8_10
Formal Concept Analysis, 1999. ,
Representing lattices using many-valued relations, Information Sciences, vol.179, issue.16, pp.2729-2739, 2009. ,
DOI : 10.1016/j.ins.2009.03.018
Evolving clusters in gene-expression data, Information Sciences, vol.176, issue.13, pp.1898-1927, 2006. ,
DOI : 10.1016/j.ins.2005.07.015
Efficient Algorithms for Mining Closed Itemsets and Their Lattice Structure, IEEE Trans. on Knowl. and Data Eng, vol.17, issue.4, pp.462-478, 2005. ,
Isolation and Characterization of Differentially Expressed Genes in the Mycelium and Fruit Body of Tuber borchii, Applied and Environmental Microbiology, vol.68, issue.9, pp.4574-4582, 2002. ,
DOI : 10.1128/AEM.68.9.4574-4582.2002
Cluster analysis for gene expression data: a survey, IEEE Transactions on Knowledge and Data Engineering, vol.16, issue.11, pp.1370-1386, 2004. ,
DOI : 10.1109/TKDE.2004.68
Using Formal Concept Analysis for the Extraction of Groups of Co-expressed Genes, CCIS, vol.14, pp.439-449, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00600212
Embedding Tolerance Relations in Concept Lattices ? An application in Information Fusion, International Conference on Information and Knowledge Management, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00508462
JSM-Method as a Machine Learning Method, Itogi Nauki i Tekhniki, ser. Informatika, vol.15, pp.17-50, 1991. ,
Learning of Simple Conceptual Graphs from Positive and Negative Examples, PKDD, pp.384-391, 1999. ,
DOI : 10.1007/978-3-540-48247-5_47
On stability of a formal concept, Annals of Mathematics and Artificial Intelligence, vol.8, issue.3, pp.101-115, 2007. ,
DOI : 10.1007/s10472-007-9053-6
Comparing performance of algorithms for generating concept lattices, Journal of Experimental & Theoretical Artificial Intelligence, vol.21, issue.2-3, pp.189-216, 2002. ,
DOI : 10.1016/S0020-0190(99)00108-8
Efficient Mining of Association Rules Based on Formal Concept Analysis, Formal Concept Analysis, pp.180-195, 2005. ,
DOI : 10.1007/11528784_10
Some Links between Formal Concept Analysis and Graph Mining, Mining Graph Data, pp.227-252, 2006. ,
DOI : 10.1002/9780470073049.ch10
URL : https://hal.archives-ouvertes.fr/lirmm-00137035
Biclustering algorithms for biological data analysis: a survey, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.1, issue.1, pp.24-45, 2004. ,
DOI : 10.1109/TCBB.2004.2
The genome of Laccaria bicolor provides insights into mycorrhizal symbiosis, Nature, vol.14, issue.7183, pp.45288-92, 2008. ,
DOI : 10.1038/nature06556
URL : https://hal.archives-ouvertes.fr/halsde-00261893
Interpreting microarray expression data using text annotating the genes, Information Sciences, vol.146, issue.1-4, pp.1-475, 2002. ,
DOI : 10.1016/S0020-0255(02)00216-5
Formal Concept Analysis for the Identification of Combinatorial Biomarkers in Breast Cancer, LNCS, vol.4933, pp.229-240, 2008. ,
DOI : 10.1007/978-3-540-78137-0_17
EXTRACTING CONSERVED GENE EXPRESSION MOTIFS FROM GENE EXPRESSION DATA, Biocomputing 2003, pp.77-88, 2003. ,
DOI : 10.1142/9789812776303_0008
Assessment of Discretization Techniques for Relevant Pattern Discovery from Gene Expression Data, pp.24-30, 2004. ,
URL : https://hal.archives-ouvertes.fr/hal-01514749
A systematic comparison and evaluation of biclustering methods for gene expression data, Bioinformatics, vol.22, issue.9, pp.1122-1129, 2006. ,
DOI : 10.1093/bioinformatics/btl060
How to build a fungal fruit body: from uniform cells to specialized tissue, Molecular Microbiology, vol.44, issue.4, pp.873-876, 2007. ,
DOI : 10.1128/EC.3.1.200-211.2004
Transcript patterns associated with ectomycorrhiza development in Eucalyptus globulus and Pisolithus microcarpus, New Phytologist, vol.23, issue.2, pp.599-611, 2005. ,
DOI : 10.1111/j.1469-8137.2004.01248.x
Transcript Profiling Reveals Novel Marker Genes Involved in Fruiting Body Formation in Tuber borchii, Eukaryotic Cell, vol.4, issue.9, pp.1599-1602, 2005. ,
DOI : 10.1128/EC.4.9.1599-1602.2005
A Fast Algorithm for Computing all Intersections of Objects in a Finite Semi-lattice, Automatic Documentation and Mathematical Linguistics, vol.27, issue.5, pp.11-21, 1993. ,
APPLICATIONS OF DNA MICROARRAYS IN BIOLOGY, Annual Review of Biochemistry, vol.74, issue.1, pp.53-82, 2005. ,
DOI : 10.1146/annurev.biochem.74.082803.133212
Symbolic Data Mining Methods with the Coron Platform, 2006. ,
URL : https://hal.archives-ouvertes.fr/tel-00336374
Formal Concept Analysis for Knowledge Discovery and Data Mining: The New Challenges, LNCS, vol.2961, pp.352-371, 2004. ,
DOI : 10.1007/978-3-540-24651-0_30
Extending conceptualisation modes for generalised Formal Concept Analysis, Information Sciences, vol.181, issue.10, 2010. ,
DOI : 10.1016/j.ins.2010.04.014
Why can concept lattices support knowledge discovery in databases?, Journal of Experimental & Theoretical Artificial Intelligence, vol.14, issue.2-3, pp.81-92, 2002. ,
DOI : 10.1007/s002870000127
Efficient algorithms for mining closed itemsets and their lattice structure, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.4, pp.462-478, 2005. ,
DOI : 10.1109/TKDE.2005.60