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ICFCA 2013: Dresden, Germany

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Peggy Cellier, Felix Distel, Bernhard Ganter:
Formal Concept Analysis, 11th International Conference, ICFCA 2013, Dresden, Germany, May 21-24, 2013. Proceedings. Lecture Notes in Computer Science 7880, Springer 2013, ISBN 978-3-642-38316-8

Historic Paper

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Vincent Duquenne:
Contextual Implications between Attributes and Some Representation Properties for Finite Lattices. 1-27

Regular Contributions

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Jamal Atif, Isabelle Bloch, Felix Distel, Céline Hudelot:
Mathematical Morphology Operators over Concept Lattices. 28-43
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Anne Berry, Alain Sigayret:
Dismantlable Lattices in the Mirror. 44-59
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  - conf/icfca/Borchmann13
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Daniel Borchmann:
Towards an Error-Tolerant Construction of $\mathcal{EL}^\bot$ -Ontologies from Data Using Formal Concept Analysis. 60-75
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Adrien Coulet, Florent Domenach, Mehdi Kaytoue, Amedeo Napoli:
Using Pattern Structures for Analyzing Ontology-Based Annotations of Biomedical Data. 76-91
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Ruairí de Fréin:
Formal Concept Analysis via Atomic Priming. 92-108
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Cynthia Vera Glodeanu, Bernhard Ganter:
Applications of Ordinal Factor Analysis. 109-124
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Cynthia Vera Glodeanu:
Tri-ordinal Factor Analysis. 125-140
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Lankun Guo, Qingguo Li, Petko Valtchev, Robert Godin:
Formal $\mathcal{F}$ -contexts and Their Induced Implication Rule Systems. 141-155
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Juraj Macko:
User-Friendly Fuzzy FCA. 156-171
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Henri Mühle:
Proper Mergings of Stars and Chains Are Counted by Sums of Antidiagonals in Certain Convolution Arrays. 172-187
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Sergei A. Obiedkov:
Modeling Ceteris Paribus Preferences in Formal Concept Analysis. 188-202
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  - conf/icfca/Medina-MorenoOR13
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Jesús Medina-Moreno, Manuel Ojeda-Aciego, Jorge Ruiz-Calviño:
Concept-Forming Operators on Multilattices. 203-215
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Uta Priss:
Using FCA to Analyse How Students Learn to Program. 216-227
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Mohamed Rouane Hacene, Marianne Huchard, Amedeo Napoli, Petko Valtchev:
Soundness and Completeness of Relational Concept Analysis. 228-243
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Christian Sacarea:
Contextual Uniformities. 244-253

Position Paper

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Sergei O. Kuznetsov:
Fitting Pattern Structures to Knowledge Discovery in Big Data. 254-266

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