Mining association rules between sets of items in large databases, Proceedings of SIGMOD Conference, pp.207-216, 1993. ,
Fast algorithms for mining association rules, Proceedings of VLDB Conference, pp.478-499, 1994. ,
La logique ou l'art de penser??contenant, outre les r e egles communes plusieurs, observations nouvelles, Ch Saveux, p.1668 ,
Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets, Proceedings of the 1st International Conference on CL (6th International Conference on Database Systems) Computational Logic??CL, LNAI 1861, pp.972-986, 2000. ,
DOI : 10.1007/3-540-44957-4_65
URL : https://hal.archives-ouvertes.fr/hal-00467751
Mining frequent patterns with counting inference, ACM SIGKDD Explorations Newsletter, vol.2, issue.2, pp.71-80, 2000. ,
DOI : 10.1145/380995.381017
URL : https://hal.archives-ouvertes.fr/hal-00467750
Efficiently mining long patterns from databases, Proceedings of SIGMOD'98, pp.85-93, 1998. ,
DOI : 10.1145/276305.276313
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.1120
Conceptual Information Systems Discussed through an IT-Security Tool, Proceedings of EKAW'00 Knowledge Engineering and Knowledge Management: Methods Models and Tools, LNAI 1937, pp.352-365, 2000. ,
DOI : 10.1007/3-540-39967-4_27
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.2948
GALOIS : An order-theoretic approach to conceptual clustering, Proceedings ICML, Machine Learning, pp.33-40, 1993. ,
DOI : 10.1016/B978-1-55860-307-3.50011-3
CEM: a conceptual e-mail manager, Proceedings ICCS'00 Conceptual Structures: Logical, Linguistic, and Computational Issues, LNAI 1867, pp.438-452, 2000. ,
Finding all closed sets: A general approach, Order, vol.2, issue.3, pp.283-290, 1991. ,
DOI : 10.1007/BF00383449
Formal Concept Analysis: Mathematical Foundations, Design of class hierarchies based on concept Galois lattices, pp.117-134, 1998. ,
An incremental concept formation approach for learning from databases, Theoretical Computer Science, vol.133, issue.2, pp.387-419, 1994. ,
DOI : 10.1016/0304-3975(94)90195-3
Toward principles for the design of ontologies used for knowledge sharing?, International Journal of Human-Computer Studies, vol.43, issue.5-6, pp.293-310, 1997. ,
DOI : 10.1006/ijhc.1995.1081
Conceptual Knowledge Discovery and Data Analysis, Proceedings ICCS2000 Conceptual Structures: Logical, Linguistic, and Computational Structures, LNAI 1867, pp.421-437, 2000. ,
DOI : 10.1007/10722280_29
Tane: An Efficient Algorithm for Discovering Functional and Approximate Dependencies, The Computer Journal, vol.42, issue.2, pp.100-111, 1999. ,
DOI : 10.1093/comjnl/42.2.100
Approximate inference of functional dependencies from relations, Theoretical Computer Science, vol.149, issue.1, pp.129-149, 1995. ,
DOI : 10.1016/0304-3975(95)00028-U
On the inference of configuration structures from source code, Proceedings of 16th International Conference on Software Engineering, pp.49-57, 1994. ,
DOI : 10.1109/ICSE.1994.296765
Open Source implementation of concept analysis in C), 1997. ,
Efficient discovery of functional dependencies and Amstrong relations, Proceedings EDBT 2000, pp.350-364, 2000. ,
Implications partielles dans un contexte, Informatique et Sciences Humaines, vol.29, issue.113, pp.35-55, 1991. ,
Qualitative text analysis supported by conceptual data systems, Quality and Quantity, International Journal of Methodology, vol.2, issue.33, pp.135-156, 1999. ,
Mining ontologies from text, Proceedings EKAW'00 Knowledge Engineering and Knowledge Management: Methods, Models, and Tools, LNAI 1937, pp.189-202, 2000. ,
Levelwise search and borders of theories in knowledge discovery, Data Mining and Knowledge Discovery, vol.1, issue.3, pp.241-258, 1997. ,
DOI : 10.1023/A:1009796218281
Knowledge acquisition through conceptual clustering: a theoretical framework and an algorithm for partitioning data into conjunctive concepts, Policy Analysis and Information Systems, vol.4, issue.3, pp.219-244, 1980. ,
Automatic structuring of knowledge bases by conceptual clustering, IEEE Transactions on Knowledge and Data Engineering, vol.7, issue.5, pp.824-829, 1995. ,
DOI : 10.1109/69.469834
An algorithm for insertion into a lattice: Application to type classification, Proceedings rd International Conference FODO 1989, pp.64-82, 1989. ,
DOI : 10.1007/3-540-51295-0_119
A fast algorithm for building lattices, Information Processing Letters, vol.71, issue.5-6, pp.199-204, 1999. ,
DOI : 10.1016/S0020-0190(99)00108-8
Pruning closed itemset lattices for association rules, 14 e emes Journes Bases de Donnes Avances (BDA'98), pp.26-30, 1998. ,
URL : https://hal.archives-ouvertes.fr/hal-00467745
Efficient mining of association rules using closed itemset lattices, Information Systems, vol.24, issue.1, pp.25-46, 1999. ,
DOI : 10.1016/S0306-4379(99)00003-4
Discovering Frequent Closed Itemsets for Association Rules, Proceedings ICDT'98, pp.398-416, 1999. ,
DOI : 10.1007/3-540-49257-7_25
URL : https://hal.archives-ouvertes.fr/hal-00467747
CLOSET: An efficient algorithm for mining frequent closed itemsets, ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pp.21-30, 2000. ,
Conceptual Data Systems, Information and Classification, pp.72-84, 1993. ,
DOI : 10.1007/978-3-642-50974-2_8
Merging inheritance hierarchies for database integration, Proceedings 3rd IFCIS International Conference on Cooperative Information Systems (Cat No 98EX122) COOPIS-98, pp.20-22, 1998. ,
DOI : 10.1109/COOPIS.1998.706276
Reengineering class hierarchies using concept analysis, Proceedings ACM SIGSOFT Symposium on the Foundations of Software Engineering, pp.99-110, 1998. ,
DOI : 10.1145/288195.288273
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.9845
Conceptual Clustering via Convex-Ordinal Structures, Information and Classification, pp.85-98, 1993. ,
DOI : 10.1007/978-3-642-50974-2_9
bottom-up merging of ontologies, Proceedings 17th International Conference on Artificial Intelligence (IJCAI'01), pp.225-230, 2001. ,
Conceptual clustering with iceberg concept lattices, Proceedings of GI?Fachgruppentreffen Maschinelles Lernen'01, 2001. ,
Fast computation of concept lattices using data mining techniques, Proceedings 7th International Workshop on Knowledge Representation Meets Databases, pp.21-22, 2000. ,
URL : https://hal.archives-ouvertes.fr/inria-00099288
Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis, Proceedings KI 2001 LNAI 2174, pp.335-350, 2001. ,
DOI : 10.1007/3-540-45422-5_24
URL : https://hal.archives-ouvertes.fr/inria-00100665
Conceptual Knowledge Discovery in Databases using formal concept analysis methods, Proceedings 2nd European Symposium on PKDD'98 Principles of Data Mining and Knowledge Discovery, LNAI 1510, pp.450-458, 1998. ,
DOI : 10.1007/BFb0094849
TOSCANA ??? A graphical tool for analyzing and exploring data, LNCS, vol.894, pp.226-233, 1995. ,
DOI : 10.1007/3-540-58950-3_374
Towards an object database approach for managing concept lattices, Proceedings 16th International Conference on Conceptual Modeling, pp.299-312, 1997. ,
DOI : 10.1007/3-540-63699-4_24
Restructuring lattice theory: an approach based on hierarchies of concepts, Ordered Sets, pp.445-470, 1982. ,
Line diagrams of hierarchical concept systems, Int. Classif, vol.11, pp.77-86, 1984. ,
Concept lattices and conceptual knowledge systems, Computers & Mathematics with Applications, vol.23, issue.6-9, pp.493-515, 1992. ,
DOI : 10.1016/0898-1221(92)90120-7
URL : http://doi.org/10.1016/0898-1221(92)90120-7
12 Maschinelles Lernen und Data Mining, Handbuch der Knstlichen Intelligenz, pp.517-597, 2000. ,
DOI : 10.1524/9783486719796.405
IO2 an algorithmic method for building inheritance graphs in object database design, Proceedings 15th International Conference on Conceptual Modeling, pp.422-437, 1996. ,
DOI : 10.1007/BFb0019938