We invite contributions on all aspects of Formal Concept Analysis, including but not limited to:

Fundamental aspects of FCA
FCA theory
Lattice theory
Lattice drawing
Philosophical foundations
Algorithms and complexity theory
Bridging FCA to information sciences and artificial intelligence
FCA and logic (e.g., semantic web, description logics)
FCA and conceptual structures (e.g., concept graphs, knowledge spaces)
FCA and data analysis (e.g., hierarchical classification, data organization)
FCA and data mining (e.g., pattern mining)
FCA and information retrieval (e.g. exploratory search, navigation, querying)
FCA and machine learning (e.g., learning with hypothesis, feature selection)
FCA and database theory (e.g., dependencies, rules, data cubes)
FCA and software engineering
FCA and morphological mathematics
Understanding, modelling real-world data and phenomena with FCA
Analysis of “big data” with FCA (e.g., sampling, parallel computing)
Analysis of social networks and their dynamics
Applications for scientific data analysis (e.g., in biology or health care)
Applications for sensors data and user interactions traces
Other FCA applications