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Title:uARMSolver: a framework for association rule mining
Authors:ID Fister, Iztok (Author)
ID Fister, Iztok (Author)
Files:URL https://arxiv.org/pdf/2010.10884.pdf
 
.pdf RAZ_Fister_Iztok_2020.pdf (462,21 KB)
MD5: 9F179066657E01AE2496B9FD574D641E
PID: 20.500.12556/dkum/06d7faac-a5e1-405c-9eb1-b8d2732f0fd7
 
Language:English
Work type:Fundamental research
Typology:2.13 - Treatise, Preliminary Study, Study
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Keywords:association rule mining, categorical attributes, numerical attributes, software framework, optimization
Place of publishing:[S. l.
Place of performance:[S. l.
Publisher:s. n.]
Year of publishing:2020
Year of performance:2020
Number of pages:12 f.
PID:20.500.12556/DKUM-78869 New window
UDC:004.5
COBISS.SI-ID:55577347 New window
Publication date in DKUM:17.03.2021
Views:1446
Downloads:41
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Secondary language

Language:Slovenian
Keywords:kategorični atributi, optimizacija, numerični atributi


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