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Formal Concept Analysis (FCA) is a mathematical theory of concepts
and c-
ceptualhierarchyleadingtomethodsforconceptuallyanalyzingdataandkno-
edge. The theoryitselfstronglyreliesonorderandlatticetheory,
whichhasbeen studied by mathematicians over decades. FCA proved
itself highly relevant in several applications from the beginning,
and, over the last years, the range of applicationshaskeptgrowing.
The mainreasonfor this comesfromthe fact that our modern society
has turned into an "information" society. After years and years of
using computers, companies realized they had stored gigantic
amounts of data. Then, they realized that this data, just rough
information for them, might become a real treasure if turned into
knowledge. FCA is particularly well suited for this purpose. From
relational data, FCA can extract implications, - pendencies,
concepts and hierarchies of concepts, and thus capture part of the
knowledge hidden in the data. The ICFCA conference series gathers
researchers from all over the world, being the main forum to
present new results in FCA and related ?elds. These results range
from theoretical novelties to advances in FCA-related algorithmic
issues, as well as application domains of FCA. ICFCA 2008 was in
the same vein as its predecessors: high-quality papers and
presentations, the place of real debate and exchange of ideas.
ICFCA 2008 contributed to strengthening the links between theory
and applications. The high quality of the presentations was the
result of the remarkable work of the authors and the reviewers. We
wish to thank the reviewers for all their valuable comments, which
helped the authors to improve their presentations.
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