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• W2901160118 endingPage "70551" @default.
• W2901160118 startingPage "70535" @default.
• W2901160118 abstract "Approximately 2.5 quintillion bytes of data are emitted on a daily basis, and this has brought the world into the era of “big data.” Artificial neural networks (ANNs) are known for their effectiveness and efficiency for small datasets, and this era of big data has posed a challenge to the big data analytics using ANN. Recently, much research effort has been devoted to the application of the ANN in big data analytics and is still ongoing, although it is in it is early stages. The purpose of this paper is to summarize recent progress, challenges, and opportunities for future research. This paper presents a concise view of the state of the art, challenges, and future research opportunities regarding the applications of the ANN in big data analytics and reveals that progress has been made in this area. Our review points out the limitations of the previous approaches, the challenges in the ANN approaches in terms of their applications in big data analytics, and several ANN architecture that have not yet been explored in big data analytics and opportunities for future research. We believe that this paper can serve as a yardstick for future progress on the applications of the ANN in big data analytics as well as a starting point for new researchers with an interest in the exploration of the ANN in big data analytics." @default.
• W2901160118 created "2018-11-29" @default.
• W2901160118 creator A5010457539 @default.
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• W2901160118 creator A5040350723 @default.
• W2901160118 creator A5044586905 @default.
• W2901160118 creator A5048011535 @default.
• W2901160118 creator A5066836183 @default.
• W2901160118 creator A5083710683 @default.
• W2901160118 creator A5084810449 @default.
• W2901160118 creator A5084987671 @default.
• W2901160118 creator A5085811655 @default.
• W2901160118 creator A5090196764 @default.
• W2901160118 date "2019-01-01" @default.
• W2901160118 modified "2023-09-23" @default.
• W2901160118 title "Progress on Artificial Neural Networks for Big Data Analytics: A Survey" @default.
• W2901160118 cites W106263139 @default.
• W2901160118 cites W1508499803 @default.
• W2901160118 cites W1512322814 @default.
• W2901160118 cites W1529965533 @default.
• W2901160118 cites W1544900599 @default.
• W2901160118 cites W1598357442 @default.
• W2901160118 cites W1670967200 @default.
• W2901160118 cites W1895718378 @default.
• W2901160118 cites W1900644230 @default.
• W2901160118 cites W1909082580 @default.
• W2901160118 cites W1967239133 @default.
• W2901160118 cites W1970204203 @default.
• W2901160118 cites W1973747955 @default.
• W2901160118 cites W1976990135 @default.
• W2901160118 cites W1978581090 @default.
• W2901160118 cites W1985229168 @default.
• W2901160118 cites W1989637899 @default.
• W2901160118 cites W2001619934 @default.
• W2901160118 cites W2006801410 @default.
• W2901160118 cites W2012451526 @default.
• W2901160118 cites W2014374971 @default.
• W2901160118 cites W2024966118 @default.
• W2901160118 cites W2040263621 @default.
• W2901160118 cites W2041588414 @default.
• W2901160118 cites W2042604625 @default.
• W2901160118 cites W2052312648 @default.
• W2901160118 cites W2054217036 @default.
• W2901160118 cites W2055133036 @default.
• W2901160118 cites W2057907879 @default.
• W2901160118 cites W2065945697 @default.
• W2901160118 cites W2072750586 @default.
• W2901160118 cites W2086964121 @default.
• W2901160118 cites W2087122779 @default.
• W2901160118 cites W2090330503 @default.
• W2901160118 cites W2098477891 @default.
• W2901160118 cites W2099489172 @default.
• W2901160118 cites W2102479866 @default.
• W2901160118 cites W2104993419 @default.
• W2901160118 cites W2106673586 @default.
• W2901160118 cites W2112796928 @default.
• W2901160118 cites W2129542763 @default.
• W2901160118 cites W2133160781 @default.
• W2901160118 cites W2141181087 @default.
• W2901160118 cites W2143245714 @default.
• W2901160118 cites W2143612262 @default.
• W2901160118 cites W2149140091 @default.
• W2901160118 cites W2149245720 @default.
• W2901160118 cites W2155072926 @default.
• W2901160118 cites W2159128662 @default.
• W2901160118 cites W2160815625 @default.
• W2901160118 cites W2171539688 @default.
• W2901160118 cites W2171865010 @default.
• W2901160118 cites W2176499795 @default.
• W2901160118 cites W2205282872 @default.
• W2901160118 cites W2209513825 @default.
• W2901160118 cites W2219995598 @default.
• W2901160118 cites W2239337023 @default.
• W2901160118 cites W2263189687 @default.
• W2901160118 cites W2279613615 @default.
• W2901160118 cites W2283674326 @default.
• W2901160118 cites W2289758322 @default.
• W2901160118 cites W2443014316 @default.
• W2901160118 cites W2498083054 @default.
• W2901160118 cites W2504058879 @default.
• W2901160118 cites W2555706138 @default.
• W2901160118 cites W2583148087 @default.
• W2901160118 cites W2584492661 @default.
• W2901160118 cites W2595141258 @default.
• W2901160118 cites W2595753752 @default.
• W2901160118 cites W2596628535 @default.
• W2901160118 cites W2618782758 @default.
• W2901160118 cites W2625392185 @default.
• W2901160118 cites W2735240643 @default.
• W2901160118 cites W2735721798 @default.
• W2901160118 cites W2755822093 @default.
• W2901160118 cites W2758597129 @default.
• W2901160118 cites W2767547957 @default.
• W2901160118 cites W2768556869 @default.
• W2901160118 cites W2769202530 @default.
• W2901160118 cites W2769219461 @default.
• W2901160118 cites W2783603323 @default.

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