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Contribution of low support association rules in understand..:
, In:
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
,
Fister, Iztok
;
Iglesias, Andres
;
Galvez, Akemi
.. - p. 1-6 , 2024
Link:
https://doi.org/10.1109/ACDSA59508.2024.10467912
RT T1 <cTitle>2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)</cTitle>: T1 <Title>Contribution of low support association rules in understanding the mined knowledge</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10467912&Exemplar=1&LAN=DE A1 Fister, Iztok A1 Iglesias, Andres A1 Galvez, Akemi A1 Podgorelec, Vili A1 Fister, Iztok YR 2024 K1 Weight measurement K1 Evolutionary computation K1 Feature extraction K1 Probability distribution K1 Distance measurement K1 Transaction databases K1 Artificial intelligence K1 association rule mining K1 data mining K1 evolutionary algorithms K1 numerical association rule mining K1 support SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ACDSA59508.2024.10467912 DO https://doi.org/10.1109/ACDSA59508.2024.10467912 SF ELIB - SuUB Bremen
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