Open Access
Issue
E3S Web Conf.
Volume 541, 2024
VI International Scientific Forum on Computer and Energy Sciences (WFCES 2024)
Article Number 02005
Number of page(s) 8
Section Energy: Production, Distribution, Storage
DOI https://doi.org/10.1051/e3sconf/202454102005
Published online 18 June 2024
  1. A. Amado, P. Cortez, P. Rita, European Research on Management and Business Economics 24(1), 1–7 (2018) [CrossRef] [Google Scholar]
  2. J. Lies, Marketing intelligence and big data: Digital marketing techniques on their way to becoming social engineering techniques in marketing (2019) [Google Scholar]
  3. A. Ikotun, A. Ezugwu, L. Abualigah, J. Heming, Information Sciences 622, 178–210 (2023) [CrossRef] [Google Scholar]
  4. H. Al-Ababneh, M. Dalbouh, S. Alrhaimi, I. Siam, T. Ibragimkhalilova, Acta Logistica 10(4), 615–624 (2023) [CrossRef] [Google Scholar]
  5. T. Niebel, F. Rasel, S. Viete, Economics of Innovation and New Technology 28(3), 296–316 (2019) [CrossRef] [Google Scholar]
  6. H. Al-Ababneh, Eastern-European Journal of Enterprise Technologies 1(13), 115 (2022) [Google Scholar]
  7. H. Al-Ababneh, PalArch’s Journal of Archaeology of Egypt/Egyptology 17(8), 121–139 (2020) [Google Scholar]
  8. A. Tripathi, “Big Data-Driven Marketing enabled Business Performance: A Conceptual Framework of Information, Strategy and Customer Lifetime Value”, in 11th International Conference on Cloud Computing, Data Science & Engineering (2021) [Google Scholar]
  9. Wantao Yu, International Journal of Production Economics 236, 108135 (2021) [CrossRef] [Google Scholar]
  10. X. Wang, “Investigation Based on the Storage Methods of Big Data”, in International Conference on Application of Intelligent Systems in Multi-modal Information Analytics (Springer, Cham, 2021) [Google Scholar]
  11. S. Krishna, К. Rathor, J. Ranga, A. Soni, D. Srinivas, A. Kumar, “Artificial Intelligence Integrated with Big Data Analytics for Enhanced Marketing”, in 2023 International Conference on Inventive Computation Technologies (ICICT) (2023) [Google Scholar]
  12. Р. Gopal, N. Rana, T. Krishna, M. Ramkumar, Annals of Operations Research 333(2), 769–797 (2024) [CrossRef] [Google Scholar]
  13. D. Thangam, Predictive Analytics Using Statistics and Big Data: Concepts and Modelling (2024) [Google Scholar]
  14. К. Jin, Z. Zhong, Е. Zhao, “Sustainable digital marketing under big data: an AI random forest model approach”, in IEEE Transactions on Engineering Management (2024) [Google Scholar]
  15. С. Brewis, S. Dibb, M. Meadows, Technological Forecasting and Social Change 190, 122402 (2023) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.