Conference Information

ICFCA 2019: International Conference on Formal Concept Analysis

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Submission Date:
2019-01-18
Notification Date:
2019-03-18
Conference Date:
2019-06-25
Location:
Frankfurt, Germany
ICORE: C   Viewed: 11652   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

44.9 / 100
Ranked #2,896 of 5,684 conferences · Top 51%
Academic recognition (35%)
58
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%) No data - scored at the neutral baseline of 50
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Listed as ICORE C · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 60% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-24

Call For Papers

ICFCA 2019 (International Conference on Formal Concept Analysis) is a ICORE C conference held in Frankfurt, Germany on 2019-06-25. The paper submission deadline is 2019-01-18. Acceptance notifications are sent on 2019-03-18.

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
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