The role of big data analytics in Internet of Things
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This followed the massive use and wide adoption of the IoT and Big Data technologies and solutions of smart cites during the period 2016-2018.
“This followed the massive use and wide adoption of the IoT and Big Data technologies and solutions of smart cites during the period 2016–2018”
From Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review (2023) · cites this paper as Ahmed et al. 2017
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“These factors are of utmost importance in e ff ectively managing the substantial data flow [41], [42].”
- Authors
- Ahmed, E., Yaqoob, I., Hashem, I. A. T., Khan, I., Ahmed, A. I. A., Imran, M., & Vasilakos, A. V.
- Affiliations
- University of Malaya (MY)
- Schneider Electric (France) (FR)
- King Saud University (SA)
- Luleå University of Technology (SE)
- Corresponding author
- Ahmed, Ejaz
- ORCID
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 129
- Pages
- 459-471
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W2726150830
- Cited by
- 629
- References
- 93
- Citations by year
- 2026: 17 · 2025: 46 · 2024: 59 · 2023: 81 · 2022: 78 · 2021: 92 · 2020: 102 · 2019: 84 · 2018: 64 · 2017: 6
- FWCI
- 123.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computer Networks (publishedVersion)
- FedUni ResearchOnline (Federation University Australia) (submittedVersion)
- OPUS - Open Publications of UTS Scholars (University of Technology Sydney) (submittedVersion)
- Funders
- King Saud University (1435-051)
- Topics
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Keywords
- big data analytics, Internet of Things, IoT data management, data collection efficiency, data processing, Internet of Things security, IoT applications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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