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Title:
uARMSolver: a framework for association rule mining
Authors:
ID
Fister, Iztok
(Author)
ID
Fister, Iztok
(Author)
Files:
https://arxiv.org/pdf/2010.10884.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
UDC:
004.5
COBISS.SI-ID:
55577347
Publication date in DKUM:
17.03.2021
Views:
1446
Downloads:
41
Metadata:
Categories:
Misc.
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Secondary language
Language:
Slovenian
Keywords:
kategorični atributi
,
optimizacija
,
numerični atributi
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