Author profile identification using formal concept analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089182" target="_blank" >RIV/61989100:27240/13:86089182 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/1859204.1859234" target="_blank" >http://dx.doi.org/10.1145/1859204.1859234</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/1859204.1859234" target="_blank" >10.1145/1859204.1859234</a>

Result language
angličtina
Original language name
Author profile identification using formal concept analysis
Original language description
This paper presents results of the finding of the author's profiles using formal concepts generated from DBLP database. Our main aim was to evaluate the use of formal concept analysis as a method for extracting the author's profiles. There are several commonly used methods for clustering and for finding experts in a large database. These methods are mainly based on different kinds of clustering and metrics which are sometimes difficult to understand. Finding experts for particular and mainly special areas of research is not an easy task. Formal concept analysis (FCA) is a method with a very strong mathematical background, which makes it easy to understand. Properties of FCA can give us a very strong tool for finding author's profiles.
Czech name
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Czech description
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Project
<a href="/en/project/EE.2.3.20.0073" target="_blank" >EE.2.3.20.0073: Bio-Inspired Methods: research, development and knowledge transfer</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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