The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum]
Abstract
"Big Data" as a term has been among the biggest trends of the last three years, leading to an upsurge of research, as well as industry and government applications. Data is deemed a powerful raw material that can impact multidisciplinary research endeavors as well as government and business performance. The goal of this discussion paper is to share the data analytics opinions and perspectives of the authors relating to the new opportunities and challenges brought forth by the big data movement. The authors bring together diverse perspectives, coming from different geographical locations with different core research expertise and different affiliations and work experiences. The aim of this paper is to evoke discussion rather than to provide a comprehensive survey of big data research.
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Using machine learning approaches for multi-omics data analysis: A review
Reel, P. S., Reel, S., Pearson, E., Trucco, E., & Jefferson, E. (2021) · Biotechnology Advances · doi:10.1016/j.biotechadv.2021.107739 · Cited by 903
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Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Luo, Z., Wamba, S. F., & Roubaud, D. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.06.020 · Cited by 860
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Alom, M. Z., Taha, T. M., Yakopcic, C., Westberg, S. K. E., Sidike, P., Nasrin, M. S., Essen, B. C. V., Awwal, A. A. S., & Asari, V. K. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1803.01164 · Cited by 426
Metadata
- Authors
- Zhou, Z.-H., Chawla, N. V., Jin, Y., & Williams, G. J.
- Venue
- IEEE Computational Intelligence Magazine
- Published
- 2014-11
- Volume
- 9
- Issue
- 4
- Pages
- 62-74
- ISSN
- 1556-603X (ISSN-L)
- OpenAlex
- W1978581090
- Cited by
- 275
- References
- 57
- FWCI
- 47.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhou, Z.-H., Chawla, N. V., Jin, Y., & Williams, G. J. (2014). Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum]. IEEE Computational Intelligence Magazine. https://doi.org/10.1109/mci.2014.2350953
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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.
