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A GA-based Framework for Mining High Fuzzy Utility Itemsets:
, In:
2019 IEEE International Conference on Big Data (Big Data)
,
Wu, Jimmy Ming-Tai
;
Lin, Jerry Chun-Wei
;
Fournier-Viger, Philippe
... - p. 2708-2715 , 2019
Link:
https://doi.org/10.1109/BigData47090.2019.9006171
RT T1
2019 IEEE International Conference on Big Data (Big Data)
: T1
A GA-based Framework for Mining High Fuzzy Utility Itemsets
UL https://suche.suub.uni-bremen.de/peid=ieee-9006171&Exemplar=1&LAN=DE A1 Wu, Jimmy Ming-Tai A1 Lin, Jerry Chun-Wei A1 Fournier-Viger, Philippe A1 Wiktorski, Tomasz A1 Hong, Tzung-Pei A1 Pirouz, Matin YR 2019 K1 Itemsets K1 Data mining K1 Linguistics K1 Fuel processing industries K1 Computer science K1 Genetic algorithms K1 fuzzy-set theroy K1 fuzzy utility itemset K1 genetic algorithm K1 evolutionary computation SP 2708 OP 2715 LK http://dx.doi.org/https://doi.org/10.1109/BigData47090.2019.9006171 DO https://doi.org/10.1109/BigData47090.2019.9006171 SF ELIB - SuUB Bremen
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