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Proceedings Year : 2021

9th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2021)

Abstract

Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at classification and knowledge discovery that can be used for many purposes in Artificial Intelligence (AI). The objective of the ninth edition of the FCA4AI workshop (see http://www.fca4ai.hse.ru/) is to investigate several issues such as: how can FCA support various AI activities (knowledge discovery, knowledge engineering, machine learning, data mining, information retrieval, recommendation...), how can FCA be extended in order to help AI researchers to solve new and complex problems in their domains, and how FCA can play a role in current trends in AI such as explainable AI and fairness of algorithms in decision making. The workshop was held in co-location with IJCAI 2021, Montréal, Canada, August, 28 2021.
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Dates and versions

hal-03540836 , version 1 (24-01-2022)

Identifiers

  • HAL Id : hal-03540836 , version 1

Cite

Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph. 9th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2021). CEUR Workshop Proceedings. IJCAI 2021, Aug 2021, Montréal/virtual, Canada. CEUR Workshop Proceedings (http://ceur-ws.org/Vol-2972) (2972), pp.139, 2021, Proceedings of the 9th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2021). ⟨hal-03540836⟩
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