IKEGWU, Anayo Chukwu, NWEKE, Henry Friday, ANIKWE, Chioma Virginia, ALO, Uzoma Rita und OKONKWO, Obikwelu Raphael, 2022. Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions. Cluster Computing. 1 Oktober 2022. Vol. 25, no. 5, p. 3343-3387. DOI 10.1007/s10586-022-03568-5.
Elsevier - Harvard (with titles)Ikegwu, A.C., Nweke, H.F., Anikwe, C.V., Alo, U.R., Okonkwo, O.R., 2022. Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions. Cluster Computing 25, 3343-3387. https://doi.org/10.1007/s10586-022-03568-5
American Psychological Association 7th editionIkegwu, A. C., Nweke, H. F., Anikwe, C. V., Alo, U. R., & Okonkwo, O. R. (2022). Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions. Cluster Computing, 25(5), 3343-3387. https://doi.org/10.1007/s10586-022-03568-5
Springer - Basic (author-date)Ikegwu AC, Nweke HF, Anikwe CV, Alo UR, Okonkwo OR (2022) Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions.. Cluster Computing 25:3343-3387. https://doi.org/10.1007/s10586-022-03568-5
Juristische Zitierweise (Stüber) (Deutsch)Ikegwu, Anayo Chukwu/ Nweke, Henry Friday/ Anikwe, Chioma Virginia/ Alo, Uzoma Rita/ Okonkwo, Obikwelu Raphael, Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions., Cluster Computing 2022, 3343-3387.