FCA4AI 2022
What can FCA do for Artificial Intelligence 2022

Table of Contents

Summary: There were 10 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume. In addition there was 1 invited talk.

• Preface
  

• FCA: a Step From Lattice Theory to Efficient Pattern Mining Approaches(Invited Talk) 7-8
  Karell Bertet
• Intrinsically Interpretable Document Classification via Concept Lattices 9-22
  Eric George Parakal, Sergei O. Kuznetsov
• Towards Fast Finding Optimal Short Classifiers 23-34
  Egor Dudyrev, Sergei O. Kuznetsov
• Can FCA Provide a Framework for Artificial General Intelligence? 35-40
  Francisco J. Valverde-Albacete, Carmen Peláez-Moreno, Inma P. Cabrera, Pablo Cordero, Manuel Ojeda-Aciego
• Small Overfitting Probability in Minimization of Empirical Risk for FCA-based Machine Learning 41-50
  Dmitry V. Vinogradov
• Framework for Pareto-Optimal Multimodal Clustering 51-62
  Mikhail Bogatyrev, Dmitry Orlov
• Lazy Classification of Underground Forums Messages Using Pattern Structures 63-74
  Abdulrahim Ghazal, Sergei O. Kuznetsov
• Organizing Contexts as a Lattice of Decision Trees for Machine Reading Comprehension 75-87
  Boris Galitsky, Dmitry Ilvovsky, Elizaveta Goncharova