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This volume contains selected papers presented at ICFCA 2010, the
8th Int- national Conference on Formal Concept Analysis. The ICFCA
conference series aims to be the prime forum for dissemination of
advances in applied lattice and order theory, and in particular
advances in theory and applications of Formal Concept Analysis.
Formal Concept Analysis (FCA) is a ?eld of applied mathematics with
its mathematical root in order theory, in particular the theory of
complete lattices.
Researchershadlongbeenawareofthefactthatthese?eldshavemanypotential
applications.FCAemergedinthe1980sfrome?ortstorestructurelattice
theory to promote better communication between lattice theorists
and potential users of lattice theory. The key theme was the
mathematical formalization of c- cept and conceptual hierarchy.
Since then, the ?eld has developed into a growing research area in
its own right with a thriving theoretical community and an -
creasingnumberofapplicationsindataandknowledgeprocessingincludingdata
visualization, information retrieval, machine learning, sofware
engineering, data analysis, data mining in Web 2.0, analysis of
social networks, concept graphs, contextual logic and description
logics. ICFCA 2010 took place during March 15-18, 2010 in Agadir,
Morocco. We received 37 high-quality submissions out of which 17
were chosen as regular papers in these proceedings after a
competitive selection process. Less mature works that were still
considered valuable for discussion at the conference were collected
in the supplementary proceedings. The papers in the present volume
coveradvancesinvariousaspectsofFCArangingfromitstheoreticalfoundations
to its applications in numerous other ?elds. In addition to the
regular papers,
thisvolumealsocontainsfourkeynotepapersarisingfromtheseveninvitedtalks
given at the conference. We are also delighted to include a reprint
of Bernhard Ganter'sseminalpaper on hiswell-knownalgorithmfor
enumerating closedsets.
FCA is an important formalism that is associated with a variety of
research areas such as lattice theory, knowledge representation,
data mining, machine learning, and semantic Web. It is successfully
exploited in an increasing number of application domains such as
software engineering, information retrieval, social network
analysis, and bioinformatics. Its mathematical power comes from its
concept lattice formalization in which each element in the lattice
captures a formal concept while the whole structure represents a
conceptual hierarchy that offers browsing, clustering and
association rule mining. Complex data analytics refers to advanced
methods and tools for mining and analyzing data with complex
structures such as XML/Json data, text and image data,
multidimensional data, graphs, sequences and streaming data. It
also covers visualization mechanisms used to highlight the
discovered knowledge. This edited book examines a set of important
and relevant research directions in complex data management, and
updates the contribution of the FCA community in analyzing complex
and large data such as knowledge graphs and interlinked contexts.
For example, Formal Concept Analysis and some of its extensions are
exploited, revisited and coupled with recent processing parallel
and distributed paradigms to maximize the benefits in analyzing
large data.
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