Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields
It serves as an educational resource for researchers and practitioners in information retrieval and related domains, but is incremental as it reviews existing methods without introducing new findings.
This paper provides a tutorial on Formal Concept Analysis (FCA), a mathematical tool for formalizing concepts and analyzing data, and discusses its applications in fields such as Information Retrieval, Machine Learning, and Data Mining.
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.