mlsanityData to 14 Oct 2026

Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields

arXiv 1703.02819 ↗First posted 8 Mar 2017cs.IR cs.AI cs.CLcited by 5

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Abstract (arXiv)

This paper is a tutorial on Formal Concept Analysis (FCA) and its applications. FCA is an applied branch of Lattice Theory, a mathematical discipline which enables formalisation of concepts as basic units of human thinking and analysing data in the object-attribute form. Originated in early 80s, during the last three decades, it became a popular human-centred tool for knowledge representation and data analysis with numerous applications. Since the tutorial was specially prepared for RuSSIR 2014, the covered FCA topics include Information Retrieval with a focus on visualisation aspects, Machine Learning, Data Mining and Knowledge Discovery, Text Mining and several others.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Mar 2017.

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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 2; 2025: 1.

5 papers.