Formal Concept Analysis as a Framework for Business Intelligence Technologies

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F12%3A33141587" target="_blank" >RIV/61989592:15310/12:33141587 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-29892-9_20" target="_blank" >http://dx.doi.org/10.1007/978-3-642-29892-9_20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-29892-9_20" target="_blank" >10.1007/978-3-642-29892-9_20</a>

Result language
angličtina
Original language name
Formal Concept Analysis as a Framework for Business Intelligence Technologies
Original language description
Numerical datasets in data mining are handled using various methods. In this paper, data mining of numerical data using FCA in combination with some interesting ideas from OLAP technology is proposed. This novel method is an enhancement of FCA, in whichmeasures are assigned to objects and/or attributes and then various numeric operations are applied to these measures (e.g. summarization, aggregation functions etc.). This new approach results in a structure, which is a concept lattice and where the extent and/or intent have aggregated values assigned to them. This structure could be seen as a generalization of OLAP technology. A concept lattice can be constrained by using various closure operators. The new closure operators presented here are based onvalues with very clear meaning for the user. Finally, a fuzzy OLAP formalization based on FCA in a fuzzy setting and using measures is proposed. Examples are shown for each introduced topic.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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