Application of Association Rules In Missing Values Imputation In Categorical Datasets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F10%3A00170102" target="_blank" >RIV/68407700:21110/10:00170102 - 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
Application of Association Rules In Missing Values Imputation In Categorical Datasets
Original language description
The paper presents new algorithm for missing values imputation in categorical datasets. The imputation is done by application of the association rules method. This method reveals various dependencies among values of attributes that makes missing values imputation more accurate. Second part the paper presents results of algorithm tests.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of International Conference on Modelling and Simulation 2010 in Prague
ISBN
978-80-01-04574-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
České vysoké učení technické v Praze
Place of publication
Praha
Event location
Praha
Event date
Jun 22, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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