Modeling Techniques for Data Mining.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F00%3A06000084" target="_blank" >RIV/67985807:_____/00:06000084 - 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
Modeling Techniques for Data Mining.
Original language description
Role of statistics. Types of tasks. Comparison of some modeling techniques for some types of data. The best results from the point of view of total percentage of correctly classified cases were obtained by logistic regression.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F97%2F0885" target="_blank" >GA201/97/0885: Analysis of informational and dynamical capabilities of recurrent neural networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2000
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Oeconomica Pragensia
ISSN
0572-3043
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
8
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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