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Data fusion
Abstract
The development of the Internet in recent years has made it possible and useful to access many different information systems anywhere in the world to obtain information. While there is much research on the integration of heterogeneous information systems, most commercial systems stop short of the actual integration of available data. Data fusion is the process of fusing multiple records representing the same real-world object into a single, consistent, and clean representation. This article places data fusion into the greater context of data integration, precisely defines the goals of data fusion, namely, complete, concise, and consistent data, and highlights the challenges of data fusion, namely, uncertain and conflicting data values. We give an overview and classification of different ways of fusing data and present several techniques based on standard and advanced operators of the relational algebra and SQL. Finally, the article features a comprehensive survey of data integration systems from academia and industry, showing if and how data fusion is performed in each.
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Cited by
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Toward Scalable Systems for Big Data Analytics: A Technology Tutorial
Hu, H., Wen, Y., Chua, T.-S., & Li, X. (2014) · IEEE Access · doi:10.1109/access.2014.2332453 · Cited by 1,099
A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data
Goldstein, M., & Uchida, S. (2016) · PLOS ONE · doi:10.1371/journal.pone.0152173 · Cited by 1,032
eD octor: machine learning and the future of medicine
Handelman, G. S., Kok, H. K., Chandra, R. V., Razavi, A. H., Lee, M. J., & Asadi, H. (2018) · Journal of Internal Medicine · doi:10.1111/joim.12822 · Cited by 956
A survey of emerging threats in cybersecurity
Jang-Jaccard, J., & Nepal, S. (2014) · Journal of Computer and System Sciences · doi:10.1016/j.jcss.2014.02.005 · Cited by 892
Metadata
- Authors
- Bleiholder, J., & Naumann, F.
- Venue
- ACM Computing Surveys
- Published
- 2009-01-15
- Volume
- 41
- Issue
- 1
- Pages
- 1-41
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2295240344
- Cited by
- 1,838
- References
- 0
- FWCI
- 194.39
- Type
- journal article
- Language
- en
- Open access
- closed
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