FCA4AI 2023
What can FCA do for Artificial Intelligence 2023

Table of Contents

Summary: There were 9 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume as regular papers. In addition there was one tuturial composed of two parts, the first on theoretical aspects and the second on practical aspects of Formal Concept Analysis.

• Preface 1-6
  Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph
• Knowledge Base Pattern Structures-Based Classification of Underground Forums: A Case Study 7-16
  Abdulrahim Ghazal
• Interval Pattern Structures for Interpreting K-Nearest Neighbor Approach in Lazy Classification 17-24
  Alan Tomat
• Using Multimodal Clustering on Formal Contexts in Event Extraction with Neural Nets 25-34
  Mikhail Bogatyrev, Dmitry Orlov, Ilya Zapyantsev
• Full Polynomial Probabilistic FCA-Based Knowledge Extraction 35-46
  Dmitry V. Vinogradov
• A Note on Counting Basic Choice Functions with Formal Concept Analysis 47-56
  Dmitry I. Ignatov
• Dependency Covers from an FCA Perspective 57-68
  Jaume Baixeries, Victor Codocedo, Mehdi Kaytoue, Amedeo Napoli
• Constructing Decision Quivers 57-68
  Egor Dudyrev, Sergei O. Kuznetsov, Amedeo Napoli