EasyMiner/R: Web Interface for Rule Learning and Classification in R
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F15%3A00231350" target="_blank" >RIV/68407700:21240/15:00231350 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-1417/paper10.pdf" target="_blank" >http://ceur-ws.org/Vol-1417/paper10.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
EasyMiner/R: Web Interface for Rule Learning and Classification in R
Original language description
EasyMiner is a web-based visual interface for association rule learning. This paper presents a preview of the next release, which uses the R environment as the data processing backend. EasyMiner/R uses the arules package to learn rules. It uses the Classifications Based on Associations (CBA) algorithm as a classifier and to perform rule pruning. Experimental results show that EasyMiner with the R-based backend is able to handle larger datasets than the previous version.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Rule Challenge and Doctoral Consortium @ RuleML 2015
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
CEUR Workshop Proceedings
Place of publication
Aachen
Event location
Berlin
Event date
Aug 2, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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