Granularita atributů ve formální konceptuální analýze

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F14%3A33150761" target="_blank" >RIV/61989592:15310/14:33150761 - isvavai.cz</a>

Result on the web

<a href="http://www.sciencedirect.com/science/article/pii/S0020025513007482" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0020025513007482</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ins.2013.10.021" target="_blank" >10.1016/j.ins.2013.10.021</a>

Result language

čeština

Original language name

Granularity of attributes in formal concept analysis

Original language description

We propose a method to control the structure of concept lattices derived from Boolean data. Concept lattices represent the basic structure utilized in formal concept analysis. Their structure is of primary importance for the analysis and understanding ofthe input data. Our method enables us to control the structure of the derived concept lattice by specifying granularity levels of attributes, thus in a sense by focusing one's lenses through which we perceive and conceptually carve up the world. The granularity levels are chosen by a user based on his expertise and experimentation with the data. If the resulting formal concepts are too specific and there is a large number of them, the user can choose to use a coarser level of granularity. The resultingformal concepts are then less specific and can be seen as resulting from a zoom-out. In a similar way, one may perform a zoom-in to obtain finer, more specific formal concepts. The paper presents a basic study of this topic. We describe

Czech name

Granularity of attributes in formal concept analysis

Czech description

We propose a method to control the structure of concept lattices derived from Boolean data. Concept lattices represent the basic structure utilized in formal concept analysis. Their structure is of primary importance for the analysis and understanding ofthe input data. Our method enables us to control the structure of the derived concept lattice by specifying granularity levels of attributes, thus in a sense by focusing one's lenses through which we perceive and conceptually carve up the world. The granularity levels are chosen by a user based on his expertise and experimentation with the data. If the resulting formal concepts are too specific and there is a large number of them, the user can choose to use a coarser level of granularity. The resultingformal concepts are then less specific and can be seen as resulting from a zoom-out. In a similar way, one may perform a zoom-in to obtain finer, more specific formal concepts. The paper presents a basic study of this topic. We describe

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

<a href="/en/project/GAP103%2F10%2F1056" target="_blank" >GAP103/10/1056: Conceptual Processing of Uncertain and Large Data and Knowledge</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Information Sciences

ISSN

0020-0255

e-ISSN

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Volume of the periodical

260

Issue of the periodical within the volume

MAR

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

22

Pages from-to

149-170

UT code for WoS article

000330823800009

EID of the result in the Scopus database

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