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The aim of this paper is to present a case study in the analysis of university applications to the Higher School of Economics (U-HSE), Moscow. Our approach uses lattice-based taxonomies of entrants' decisions about undergraduate programmes. These taxonomies were built by means of Formal Concept Analysis (FCA). FCA is a well-known algebraic technique for(More)
The problem of detecting terms that can be interesting to the advertiser is considered. If a company has already bought some advertising terms which describe certain services, it is reasonable to find out the terms bought by competing companies. A part of them can be recommended as future advertising terms to the company. The goal of this work is to propose(More)
A novel approach to triclustering of a three-way binary data is proposed. Tricluster is defined in terms of Triadic Formal Concept Analysis as a dense triset of a binary relation Y , describing relationship between objects, attributes and conditions. This definition is a relaxation of a triconcept notion and makes it possible to find all triclusters and(More)
This is the first part of a large survey paper in which we analyze recent literature on Formal Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 papers published between 2003-2011 mentioning terms related to Formal Concept Analysis in the title, abstract and keywords. We developed a knowledge browsing environment to(More)
Formal Concept Analysis (FCA) is an unsupervised clustering technique and many scientific papers are devoted to applying FCA in Information Retrieval (IR) research. We collected 103 papers published between 2003-2009 which mention FCA and information retrieval in the abstract, title or keywords. Using a prototype of our FCA-based toolset CORDIET, we(More)
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In this paper we show the results of the experimental comparison of five triclustering algorithms on real-world and synthetic data wrt. resource efficiency and 4 quality measures. One of the algorithms, the OAC-triclustering based on prime operators, is presented first time in this paper. Interpretation of results for real-world datasets is provided.