Truth Discovery in Crowdsourced Detection of Spatial Events
- Submitting institution
-
University of Aberdeen
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 140791201
- Type
- D - Journal article
- DOI
-
10.1109/TKDE.2015.2504928
- Title of journal
- IEEE Transactions on Knowledge and Data Engineering
- Article number
- -
- First page
- 1047
- Volume
- 28
- Issue
- 4
- ISSN
- 1041-4347
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- 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
-
3
- Research group(s)
-
-
- Citation count
- 23
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is a publication from the project "Collaborative Intelligence Analysis" led by Norman, a collaboration with UCLA and Honeywell, funded jointly by UK MoD and US DoD through the NIS ITA programme. The project focussed on the development of algorithms and techniques to support analytics in military intelligence domains, where the identification of located events from open sourced or crowdsourced data is a significant challenge. Research from this project was identified by both US and UK governments as a key highlight from the 10-year programme.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
