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Smart city article details
| Title | Research Trends, Enabling Technologies And Application Areas For Big Data |
|---|---|
| ID_Doc | 45957 |
| Authors | Lundberg L.; Grahn H. |
| Year | 2022 |
| Published | Algorithms, 15, 8 |
| DOI | http://dx.doi.org/10.3390/a15080280 |
| Abstract | The availability of large amounts of data in combination with Big Data analytics has transformed many application domains. In this paper, we provide insights into how the area has developed in the last decade. First, we identify seven major application areas and six groups of important enabling technologies for Big Data applications and systems. Then, using bibliometrics and an extensive literature review of more than 80 papers, we identify the most important research trends in these areas. In addition, our bibliometric analysis also includes trends in different geographical regions. Our results indicate that manufacturing and agriculture or forestry are the two application areas with the fastest growth. Furthermore, our bibliometric study shows that deep learning and edge or fog computing are the enabling technologies increasing the most. We believe that the data presented in this paper provide a good overview of the current research trends in Big Data and that this kind of information is very useful when setting strategic agendas for Big Data research. © 2022 by the authors. |
| Author Keywords | Big Data; cloud computing; deep learning; image processing; manufacturing; parallel processing; smart cities; storage systems; survey; telecommunication |
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