The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics
Open accessAbstract
The term big data occurs more frequently now than ever before. A large number of fields and subjects, ranging from everyday life to traditional research fields (i.e., geography and transportation, biology and chemistry, medicine and rehabilitation), involve big data problems. The popularizing of various types of network has diversified types, issues, and solutions for big data more than ever before. In this paper, we review recent research in data types, storage models, privacy, data security, analysis methods, and applications related to network big data. Finally, we summarize the challenges and development of big data to predict current and future trends.
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Cites
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BackgroundChallenges of Big Data analysis
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Intelligent Transportation Systems
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Cited by
A survey on deep learning for multimodal data fusion
Gao, J., Li, P., Chen, Z., & Zhang, J. (2020) · Neural Computation · doi:10.1162/neco_a_01273 · Cited by 821
Differential Privacy Techniques for Cyber Physical Systems: A Survey
Hassan, M. U., Rehmani, M. H., & Chen, J. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2944748 · Cited by 564
Rauniyar, A., Hagos, D. H., Jha, D., Håkegård, J. E., Bagci, U., Rawat, D. B., & Vlassov, V. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3329061 · Cited by 315
Big data with cloud computing: Discussions and challenges
Sandhu, A. K. (2022) · Big Data Mining and Analytics · doi:10.26599/bdma.2021.9020016 · Cited by 280
An Energy-Efficient Networking Approach in Cloud Services for IIoT Networks
Jiang, D., Wang, Y., Lv, Z., Wang, W., & Wang, H. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.2980919 · Cited by 106
Self-citation
Metadata
- Authors
- Lv, Z., Song, H., Basanta-Val, P., Steed, A., & Jo, M.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2017-08
- Volume
- 13
- Issue
- 4
- Pages
- 1891-1899
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2592230399
- Cited by
- 365
- References
- 52
- FWCI
- 80.10
- Type
- journal article
- Language
- en
- Open access
- green
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- Lv, Z., Song, H., Basanta-Val, P., Steed, A., & Jo, M. (2017). Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2017.2650204
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
