A ‘Best-of-Breed’ approach for designing a fast algorithm for computing fixpoints of Galois
Connections
- Submitting institution
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Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1365
- Type
- D - Journal article
- DOI
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10.1016/j.ins.2014.10.011
- Title of journal
- Information Sciences
- Article number
- -
- First page
- 633
- Volume
- 295
- Issue
- 20
- ISSN
- 0020-0255
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2015
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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0
- Research group(s)
-
-
- Citation count
- 23
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Funded by the €3m EU FP7 CUBIST project (257403) and instrumental in obtaining the EU H2020 grants: €2.6m ATHENA (313220); €3.5m ePOOLICE (312651); €5m TENSOR (700024). Was underpinning research for the Security Communications and Analysis Network for the United Nations, providing security for frontline staff. 13,000 UN staff use SCAAN in 153 countries. The UN called SCAAN the “new generation standard for security communications for the UN”. SCAAN was used by the WHO for their 500 staff in the DRC in their Ebola response. The International Telecommunications Union and the International Criminal Court each have 1,000 staff using SCAAN.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -