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Formal concept analysis has been developed as a field of applied mathematics based on the mathematization of concept and concept hierarchy. It thereby allows us to mathematically represent, analyze, and construct conceptual structures. The formal concept analysis approach has been proven successful in a wide range of application fields. This book constitutes a comprehensive and systematic presentation of the state of the art of formal concept analysis and its applications. The first part of the book is devoted to foundational and methodological topics. The contributions in the second part demonstrate how formal concept analysis is successfully used outside of mathematics, in linguistics, text retrieval, association rule mining, data analysis, and economics. The third part presents applications in software engineering.

Artificial intelligence. Robotics. Simulation. Graphics --- Lattice theory. --- Comprehension (Theory of knowledge) --- Logic, Symbolic and mathematical. --- Information theory. --- Artificial intelligence --- Théorie des treillis --- Compréhension (Théorie de la connaissance) --- Logique symbolique et mathématique --- Théorie de l'information --- Intelligence artificielle --- Mathematical models. --- Modèles mathématiques --- Lattice theory --- Logic, Symbolic and mathematical --- Information theory --- Computer Science --- Mechanical Engineering - General --- Algebra --- Engineering & Applied Sciences --- Mechanical Engineering --- Mathematics --- Physical Sciences & Mathematics --- Mathematical models --- Information Technology --- Artificial Intelligence --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Communication theory --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Lattices (Mathematics) --- Space lattice (Mathematics) --- Structural analysis (Mathematics) --- Computer science. --- Software engineering. --- Mathematical logic. --- Computer science --- Information storage and retrieval. --- Artificial intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Software Engineering. --- Mathematical Logic and Formal Languages. --- Discrete Mathematics in Computer Science. --- Information Storage and Retrieval. --- Mathematics. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer mathematics --- Discrete mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Computer software engineering --- Engineering --- Informatics --- Science --- Communication --- Cybernetics --- Knowledge, Theory of --- Logic --- Philosophy --- Algebra, Boolean --- Group theory --- Topology --- Transformations (Mathematics) --- Crystallography, Mathematical --- Computational complexity. --- Information storage and retrieva. --- Artificial Intelligence. --- Complexity, Computational --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Computer science—Mathematics.