Knowledge Uncertainty and Composed Classifier
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F07%3A00307496" target="_blank" >RIV/67985556:_____/07:00307496 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Knowledge Uncertainty and Composed Classifier
Original language description
The paper discuss the problem of wide context (temporal, spatial, local, objective, attribute oriented, relation oriented) as a tool to compensate and to decrease the uncertainty of data, classification and analytical process at all process to increase the information value of decision support. The contribution deals with a problem of creating the composed classifier with boosting architecture, whose components are composed of classifiers working with k - NN algorithm (k - th nearest neighbour).
Czech name
Neurčitost znalostí a složený klasifikátor
Czech description
Příspěvek je věnován problematice širokého kontextu z hlediska jeho možností kompenzovat neurčitost dat.
Classification
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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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Circuits, Systems and Signal Processing
ISSN
1998-0140
e-ISSN
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Volume of the periodical
1
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
5
Pages from-to
101-105
UT code for WoS article
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EID of the result in the Scopus database
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