Estimations of similarity in formal concept analysis of data with graded attributes.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F06%3A00003289" target="_blank" >RIV/61989592:15310/06:00003289 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Estimations of similarity in formal concept analysis of data with graded attributes.

Original language description

We study similarity in formal concept analysis of data tables with graded attributes. We focus on similarity related to formal concepts and concept lattices, i.e. the outputs of formal concept analysis. We present several formulas for estimation of similarity of outputs in terms of similarity of inputs. The results answer some problems which arose in previous investigation as well as some natural questions concerning similarity in conceptual data analysis. The derived formulas enable us to compute an estimation of similarity of concept lattices much faster than one can compute their exact similarity. We omit proofs due to lack of space.

Czech name

Odhady podobnosti ve formální konceptuální analýza dat se stupňovitými atributy.

Czech description

Prezentace výsledků studia odhadu podobnosti ve formální konceptuální analýze dat se stupňovitými atributy.

Type

D - Article in proceedings

CEP classification

BD - Information theory

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2006

Confidentiality

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

Article name in the collection

Advances in Web Intelligence and Data Mining, Studies in Computational Intelligence

ISBN

3-540-33879-9

ISSN

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e-ISSN

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Number of pages

338

Pages from-to

243-252

Publisher name

Springer

Place of publication

Heidelberg

Event location

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Event date

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Type of event by nationality

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UT code for WoS article

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