ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

ICFCA 2021 - International Conference on Formal Concept Analysis

Date2021-06-29 - 2021-07-02


VenueStrasbourg, France France



Topics/Call fo Papers

Formal Concept Analysis emerged in the 1980’s from attempts to restructure lattice theory in order to promote better communication between lattice theorists and potential users of lattice theory. Since its early years, Formal Concept Analysis has developed into a research field in its own right with a thriving theoretical community and a rapidly expanding range of applications in information and knowledge processing including visualization, data analysis (mining) and knowledge management and discovery.
The ICFCA conference series aims at bringing together researchers and practitioners working on theoretical or applied aspects of Formal Concept Analysis within major related areas such as Mathematics and Computer and Information Sciences and their diverse applications to fields like Software Engineering, Linguistics, Life and Social Sciences, etc.
All accepted submissions will be refereed, and the conference proceedings will be published by Springer in the LNCS/LNAI series.
Main topics of interest include, but are 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

Last modified: 2020-09-10 17:25:42