Invited Talks -- About the Enumeration Algorithms of Closed Sets -- Mathematics Presenting, Reflecting, Judging -- The Role of Concept, Context, and Component for Dependable Software Development -- Statistical Methods for Data Mining and Knowledge Discovery -- Regular Contributions -- Formal Concept Analysis of Two-Dimensional Convex Continuum Structures -- Counting of Moore Families for n=7 -- Lattice Drawings and Morphisms -- Approximations in Concept Lattices -- Hardness of Enumerating Pseudo-intents in the Lectic Order -- On Links between Concept Lattices and Related Complexity Problems -- An Algorithm for Extracting Rare Concepts with Concise Intents -- Conditional Functional Dependencies: An FCA Point of View -- Constrained Closed Datacubes -- Conceptual Navigation in RDF Graphs with SPARQL-Like Queries -- An Approach to Exploring Description Logic Knowledge Bases -- On Categorial Grammars as Logical Information Systems -- Describing Role Models in Terms of Formal Concept Analysis -- Approaches to the Selection of Relevant Concepts in the Case of Noisy Data -- Concept Analysis as a Framework for Mining Functional Features from Legacy Code -- Concept Neighbourhoods in Lexical Databases -- A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing -- History -- Two Basic Algorithms in Concept Analysis.

This book constitutes the refereed proceedings of the 8th International Conference on Formal Concept Analysis, ICFCA 2010, held in Agadir, Morocco, in March 2010. The 17 revised full papers presented together with 4 invited lectures and a reprint of a historical paper were carefully reviewed and selected from 37 submissions. The papers comprise state of the art research and present new results in applied lattice and order theory, and in particular advances in theory and applications of Formal Concept Analysis. These results range from theoretical novelties to advances in FCA-related algorithmic issues, as well as application domains of FCA such as data visualization, information retrieval, machine learning, data analysis and knowledge management.