Multiple Data Tables Processing via One-Sided Concept Lattices

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F13%3A33153612" target="_blank" >RIV/61989592:15310/13:33153612 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-32335-5" target="_blank" >http://dx.doi.org/10.1007/978-3-642-32335-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-32335-5" target="_blank" >10.1007/978-3-642-32335-5</a>

Result language
angličtina
Original language name
Multiple Data Tables Processing via One-Sided Concept Lattices
Original language description
One-sided concept lattices introduce data mining method from the area of Formal Concept Analysis (FCA) for analysis of objects clusters according to the set of fuzzy attributes. Currently, most of the methods for creation of one-sided concept lattices process only data tables with one type of truth value structure. In this chapter we describe closure operator, which corresponds to the intersection of particular closure systems obtained from various object-attribute models with different types of attributes. Each particular closure system is defined via one-sided concept lattices approaches applicated for particular data tables.
Czech name
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Czech description
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Project
<a href="/en/project/EE2.3.20.0051" target="_blank" >EE2.3.20.0051: Algebraic methods in Quantum Logic</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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