Lakhal, L. & Stumme, G. (2005). Efficient Mining of Association Rules Based on Formal Concept Analysis. In B. Ganter, G. Stumme & R. Wille (eds.), Formal Concept Analysis: Foundations and Applications (pp. 180-195). Springer.

Lakhal, L. & Stumme, G. (2005). Efficient Mining of Association Rules Based on Formal Concept Analysis. In B. Ganter, G. Stumme & R. Wille (eds.), Formal Concept Analysis: Foundations and Applications (pp. 180-195). Springer.

Pasquier, N., Taouil, R., Bastide, Y., Stumme, G. & Lakhal, L. (2005). Generating a Condensed Representation for Association Rules. Journal Intelligent Information Systems (JIIS), 24, 29-60.

Pasquier, N., Taouil, R., Bastide, Y., Stumme, G. & Lakhal, L. (2005). Generating a Condensed Representation for Association Rules. Journal Intelligent Information Systems (JIIS), 24, 29-60.

Bastide, Y., Taouil, R., Pasquier, N., Stumme, G. & Lakhal, L. (2002). Pascal: un alogorithme d'extraction des motifs fréquents. Technique et Science Informatiques (TSI), 21, 65-95.

Stumme, G. (2002). Efficient Data Mining Based on Formal Concept Analysis. In A. Hameurlain, R. Cicchetti & R. Traunmüller (eds.), Database and Expert Systems Applications. Proc. DEXA 2002 (p./pp. 534-546), Heidelberg: Springer.

Stumme, G., Taouil, R., Bastide, Y., Pasquier, N. & Lakhal, L. (2001). Intelligent Structuring and Reducing of Association Rules and with Formal Concept Analysis. In F. Baader, G. Brewker & T. Eiter (eds.), KI 2001: Advances in Artificial Intelligence. KI 2001 (p./pp. 335-350), Heidelberg: Springer.

Bastide, Y., Taouil, R., Pasquier, N., Stumme, G. & Lakhal, L. (2000). Levelwise Search of Frequent Patterns. Actes des 16ièmes Journées Bases de Données Avancées (p./pp. 307-322), Oct 24-27, France: Blois.

Bastide, Y., Taouil, R., Pasquier, N., Stumme, G. & Lakhal, L. (2000). Mining Frequent Patterns with Counting Inference.. SIGKDD Explorations, Special Issue on Scalable Algorithms, 2, 71-80.

Bastide, Y., Pasquier, N., Taouil, R., Stumme, G. & Lakhal, L. (2000). Mining Minimal Non-Redundant Association Rules Using Frequent Closed Itemsets. In J. Lloyd, V. Dahl, U. Furbach, M. Kerber, K.-K. Laus, C. Palamidessi, L. Pereira, Y. Sagiv & P. Stuckey (eds.), Computational Logic --- CL 2000 Proc. CL'00, Heidelberg: Springer.

Stumme, G., Taouil, R., Bastide, Y., Pasquier, N. & Lakhal, L. (2000). Fast Computation of Concept Lattices Using Data Mining Techniques. In M. Bouzeghoub, M. Klusch, W. Nutt & U. Sattler (eds.), Proc. 7th Intl. Workshop on Knowledge Representation Meets Databases, .

Stumme, G. (1999). Conceptual Knowledge Discovery with Frequent Concept Lattices ({FB}4-{P}reprint 2043). TU Darmstadt .