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Record Nr. |
UNINA9910637784003321 |
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Autore |
Ahmed S. Ejaz |
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Titolo |
Big Data Analytics and Information Science for Business and Biomedical Applications II |
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Pubbl/distr/stampa |
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
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ISBN |
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Descrizione fisica |
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1 online resource (196 p.) |
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Soggetti |
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Computer science |
Information technology industries |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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The analysis of big data in biomedical, business and financial research has drawn much attention from researchers worldwide. This collection of articles aims to provide a platform for an in-depth discussion of novel statistical methods developed for the analysis of Big Data in these areas. Both applied and theoretical contributions to these areas are showcased. |
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