The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Business Intelligence System
Abstract
An automatic system is being developed to disseminate information to the various sections of any industrial, scientific or government organization. This intelligence system will utilize data-processing machines for auto-abstracting and auto-encoding of documents and for creating interest profiles for each of the “action points” in an organization. Both incoming and internally generated documents are automatically abstracted, characterized by a word pattern, and sent automatically to appropriate action points. This paper shows the flexibility of such a system in identifying known information, in finding who needs to know it and in disseminating it efficiently either in abstract form or as a complete document.
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Citations
Cites
The Automatic Creation of Literature Abstracts
Luhn, H. P. (1958) · IBM Journal of Research and Development · doi:10.1147/rd.22.0159 · Cited by 3,246
Self-citationA Statistical Approach to Mechanized Encoding and Searching of Literary Information
Luhn, H. P. (1957) · IBM Journal of Research and Development · doi:10.1147/rd.14.0309 · Cited by 1,093
Self-citation
Cited by
Business intelligence and big data in hospitality and tourism: a systematic literature review
Mariani, M., Baggio, R., Fuchs, M., & Höepken, W. (2018) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-07-2017-0461 · Cited by 434
Moniruzzaman, A. B. M., & Hossain, S. A. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1307.0191 · Cited by 364
30 years of intelligence models in management and business: A bibliometric review
López-Robles, J. R., Otegi-Olaso, J. R., Porto Gómez, I., & Cobo, M. J. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.013 · Cited by 268
Research Landscape of Business Intelligence and Big Data analytics: A bibliometrics study
Liang, T.-P., & Liu, Y.-H. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2018.05.018 · Cited by 256
A big data system supporting Bosch Braga Industry 4.0 strategy
Santos, M. Y., Oliveira e Sá, J., Andrade, C., Vale Lima, F., Costa, E., Costa, C., Martinho, B., & Galvão, J. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.07.012 · Cited by 207
Metadata
- Authors
- Luhn, H. P.
- Venue
- IBM Journal of Research and Development
- Publisher
- IBM
- Published
- 1958-10
- Volume
- 2
- Issue
- 4
- Pages
- 314-319
- ISSN
- 0018-8646 (ISSN-L)
- OpenAlex
- W1965102537
- Cited by
- 728
- References
- 2
- FWCI
- 0.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- Luhn, H. P. (1958). A Business Intelligence System. IBM Journal of Research and Development. https://doi.org/10.1147/rd.24.0314
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.
