The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Business Intelligence for Enterprise Systems: A Survey
Abstract
Business intelligence (BI) is the process of transforming raw data into useful information for more effective strategic, operational insights, and decision-making purposes so that it yields real business benefits. This new emerging technique can not only improve applications in enterprise systems and industrial informatics, respectively, but also play a very important role to bridge the connection between enterprise systems and industrial informatics. This paper was intended as a short introduction to BI with the emphasis on the fundamental algorithms and recent progress. In addition, we point out the challenges and opportunities to smoothly connect industrial informatics to enterprise systems for BI research.
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A decision-theoretic generalization of on-line learning and an application to boosting
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A logical calculus of the ideas immanent in nervous activity
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Mining frequent patterns without candidate generation
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LOF: identifying density-based local outliers
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LOF: identifying density-based local outliers
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Cited by
Fang, S., Xu, L. D., Zhu, Y., Ahati, J., Pei, H., Yan, J., & Liu, Z. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2302638 · Cited by 559
Self-citationExplore success factors that impact artificial intelligence adoption on telecom industry in China
Chen, H., Li, L., & Chen, Y. (2021) · Journal of Management Analytics · doi:10.1080/23270012.2020.1852895 · Cited by 300
A survey on fog computing for the Internet of Things
Bellavista, P., Berrocal, J., Corradi, A., Das, S. K., Foschini, L., & Zanni, A. (2019) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2018.12.007 · Cited by 268
Masip-Bruin, X., Marín-Tordera, E., Tashakor, G., Jukan, A., & Ren, G.-J. (2016) · IEEE Wireless Communications · doi:10.1109/mwc.2016.7721750 · Cited by 267
Emerging Enabling Technologies for Industry 4.0 and Beyond
Sigov, A., Ratkin, L., Ivanov, L. A., & Xu, L. D. (2024) · Information Systems Frontiers · doi:10.1007/s10796-021-10213-w · Cited by 234
Self-citation
Metadata
- Authors
- Duan, L., & Xu, L. D.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2012-08
- Volume
- 8
- Issue
- 3
- Pages
- 679-687
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W1967358196
- Cited by
- 254
- References
- 9
- FWCI
- 62.70
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
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.
