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.
Description
Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields
%0 Journal Article
%1 ignatov2017introduction
%A Ignatov, Dmitry I.
%D 2017
%J CoRR
%K Data_Mining Einführung FBA
%R 10.1007/978-3-319-25485-2_3
%T Introduction to Formal Concept Analysis and Its Applications in
Information Retrieval and Related Fields
%U http://dblp.uni-trier.de/db/journals/corr/corr1703.html#Ignatov17
%V abs/1703.02819
%X 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.
@article{ignatov2017introduction,
abstract = {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.},
added-at = {2019-03-11T12:46:39.000+0100},
author = {Ignatov, Dmitry I.},
biburl = {https://www.bibsonomy.org/bibtex/241aead9611bb6543d76709193b05623e/keinstein},
description = {Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields},
doi = {10.1007/978-3-319-25485-2_3},
interhash = {9acb9a6aaa5d5744b00cb2b415764cb5},
intrahash = {41aead9611bb6543d76709193b05623e},
journal = {CoRR},
keywords = {Data_Mining Einführung FBA},
note = {cite arxiv:1703.02819},
timestamp = {2019-03-11T12:46:39.000+0100},
title = {Introduction to Formal Concept Analysis and Its Applications in
Information Retrieval and Related Fields},
url = {http://dblp.uni-trier.de/db/journals/corr/corr1703.html#Ignatov17},
volume = {abs/1703.02819},
year = 2017
}