%0 Journal Article %1 stumme2001conceptual %A Stumme, Gerd %A Taouil, Rafik %A Bastide, Yves %A Lakhal, Lotfi %D 2001 %J Proc. of GI-Fachgruppentreffen Maschinelles Lernen %K imported %T Conceptual clustering with iceberg concept lattices %U http://callisto.nsu.ru/documentation/CSIR/qmeta/FGML2001-Paper-Stumme_etal.pdf %V 1 %X We introduce the notion of iceberg concept lattices and show their use in Knowledge Discovery in Databases (KDD). Iceberg lattices are a conceptual clustering method, which is well suited for analyzing very large databases. They also serve as a condensed representation of frequent itemsets, as starting point for computing bases of association rules, and as a visualization method for association rules. Iceberg concept lattices are based on the theory of Formal Concept Analysis, a mathematical theory with applications in data analysis, information retrieval, and knowledge discovery. Keywords. Formal Concept Analysis, Conceptual Clustering, Knowledge Discovery, Visualization, Lattices

@article{stumme2001conceptual, abstract = {We introduce the notion of iceberg concept lattices and show their use in Knowledge Discovery in Databases (KDD). Iceberg lattices are a conceptual clustering method, which is well suited for analyzing very large databases. They also serve as a condensed representation of frequent itemsets, as starting point for computing bases of association rules, and as a visualization method for association rules. Iceberg concept lattices are based on the theory of Formal Concept Analysis, a mathematical theory with applications in data analysis, information retrieval, and knowledge discovery. Keywords. Formal Concept Analysis, Conceptual Clustering, Knowledge Discovery, Visualization, Lattices}, added-at = {2013-08-04T16:27:37.000+0200}, author = {Stumme, Gerd and Taouil, Rafik and Bastide, Yves and Lakhal, Lotfi}, biburl = {https://www.bibsonomy.org/bibtex/21ccc1615332d645662fff6d0b7736867/francesco.k}, citations = {29}, citedbyid = {6747265021954174062}, file = {file://10.1.1.86.4781.pdf:pdf}, interhash = {c99f2ae002435208c58f9244d298a10b}, intrahash = {1ccc1615332d645662fff6d0b7736867}, journal = {Proc. of GI-Fachgruppentreffen Maschinelles Lernen}, keywords = {imported}, mailhosts = {loria.fr; aifb.unikarlsruhe.de; lim.univmrs.fr; libd2.univbpclermont.fr}, md5sum = {8699dd4a2a3941b3c14c8750ed0d5ce1}, pdfmeat = {timestamp: 2013-08-04 16:25:22; queries: 5; inode: 1949844}, timestamp = {2013-08-04T16:27:37.000+0200}, title = {Conceptual clustering with iceberg concept lattices}, url = {http://callisto.nsu.ru/documentation/CSIR/qmeta/FGML2001-Paper-Stumme_etal.pdf}, volume = 1, year = 2001 }