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An Efficient Analysis of E-Commerce Site using Big Data Ass..:
, In:
2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES)
,
Perumal, Ho Chi Minh
;
Chokkalingam, Bala Subramanian
- p. 249-256 , 2022
Link:
https://doi.org/10.1109/SPICES52834.2022.9774156
RT T1 <cTitle>2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES)</cTitle>: T1 <Title>An Efficient Analysis of E-Commerce Site using Big Data Assisted Modified Learning Strategy based on Novel Customer Recommendations</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9774156&Exemplar=1&LAN=DE A1 Perumal, Ho Chi Minh A1 Chokkalingam, Bala Subramanian YR 2022 K1 Deep learning K1 Organizations K1 Big Data K1 Signal processing K1 SPICE K1 Behavioral sciences K1 Registers K1 Modified Learning K1 BMLS K1 Apriori K1 E-Commerce K1 Mining K1 Customer Recommendation SP 249 OP 256 LK http://dx.doi.org/https://doi.org/10.1109/SPICES52834.2022.9774156 DO https://doi.org/10.1109/SPICES52834.2022.9774156 SF ELIB - SuUB Bremen
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