New Feature Selection Method for Multi-class Data: Iteratively Weighted AUC (IWA)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU95783" target="_blank" >RIV/00216305:26220/11:PU95783 - 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
New Feature Selection Method for Multi-class Data: Iteratively Weighted AUC (IWA)
Original language description
This paper deals with the new filter feature selection method Iteratively Weighted Area under Receiver Operating Characteristic (IWA). It is aimed for the multi-class problems with quantitative inputs. The experiments prove its superior quality in comparison to the equivalent methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications
ISBN
978-1-4577-1423-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
336-340
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Praha
Event date
Sep 15, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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