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Formal Concept Analysis [[electronic resource] ] : 11th International Conference, ICFCA 2013, Dresden, Germany, May 21-24, 2013, Proceedings / / edited by Peggy Cellier, Felix Distel, Bernhard Ganter
Formal Concept Analysis [[electronic resource] ] : 11th International Conference, ICFCA 2013, Dresden, Germany, May 21-24, 2013, Proceedings / / edited by Peggy Cellier, Felix Distel, Bernhard Ganter
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (X, 267 p. 57 illus.)
Disciplina 004.0151
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Mathematical logic
Software engineering
Algebra
Ordered algebraic structures
Artificial Intelligence
Data Mining and Knowledge Discovery
Mathematical Logic and Formal Languages
Software Engineering
Order, Lattices, Ordered Algebraic Structures
ISBN 3-642-38317-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contextual Implications between Attributes and Some Representation Properties for Finite Lattices -- Mathematical Morphology Operators over Concept Lattices -- Dismantlable Lattices in the Mirror -- Towards an Error-Tolerant Construction of EL⊥-Ontologies from Data Using Formal Concept Analysis -- Using Pattern Structures for Analyzing Ontology-Based Annotations of Biomedical Data -- Formal Concept Analysis via Atomic Priming -- Applications of Ordinal Factor Analysis -- Tri-ordinal Factor Analysis -- Formal F-contexts and Their Induced Implication Rule Systems -- User-Friendly Fuzzy FCA -- Proper Mergings of Stars and Chains Are Counted by Sums of Antidiagonals in Certain Convolution Arrays -- Modeling Ceteris Paribus Preferences in Formal Concept Analysis -- Concept-Forming Operators on Multilattices -- Using FCA to Analyse How Students Learn to Program -- Soundness and Completeness of Relational Concept Analysis -- Contextual Uniformities -- Fitting Pattern Structures to Knowledge Discovery in Big Data.
Record Nr. UNISA-996466569803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Formal Concept Analysis : 11th International Conference, ICFCA 2013, Dresden, Germany, May 21-24, 2013, Proceedings / / edited by Peggy Cellier, Felix Distel, Bernhard Ganter
Formal Concept Analysis : 11th International Conference, ICFCA 2013, Dresden, Germany, May 21-24, 2013, Proceedings / / edited by Peggy Cellier, Felix Distel, Bernhard Ganter
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (X, 267 p. 57 illus.)
Disciplina 004.0151
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Mathematical logic
Software engineering
Algebra
Ordered algebraic structures
Artificial Intelligence
Data Mining and Knowledge Discovery
Mathematical Logic and Formal Languages
Software Engineering
Order, Lattices, Ordered Algebraic Structures
ISBN 3-642-38317-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contextual Implications between Attributes and Some Representation Properties for Finite Lattices -- Mathematical Morphology Operators over Concept Lattices -- Dismantlable Lattices in the Mirror -- Towards an Error-Tolerant Construction of EL⊥-Ontologies from Data Using Formal Concept Analysis -- Using Pattern Structures for Analyzing Ontology-Based Annotations of Biomedical Data -- Formal Concept Analysis via Atomic Priming -- Applications of Ordinal Factor Analysis -- Tri-ordinal Factor Analysis -- Formal F-contexts and Their Induced Implication Rule Systems -- User-Friendly Fuzzy FCA -- Proper Mergings of Stars and Chains Are Counted by Sums of Antidiagonals in Certain Convolution Arrays -- Modeling Ceteris Paribus Preferences in Formal Concept Analysis -- Concept-Forming Operators on Multilattices -- Using FCA to Analyse How Students Learn to Program -- Soundness and Completeness of Relational Concept Analysis -- Contextual Uniformities -- Fitting Pattern Structures to Knowledge Discovery in Big Data.
Record Nr. UNINA-9910484252603321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui