Aggregating crowdsourced quantitative claims : Additive and multiplicative models
- Submitting institution
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University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 53782801
- Type
- D - Journal article
- DOI
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10.1109/TKDE.2016.2535383
- Title of journal
- IEEE Transactions on Knowledge and Data Engineering
- Article number
- 7422085
- First page
- 1621
- Volume
- 28
- Issue
- 7
- ISSN
- 1041-4347
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2016
- 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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4
- Research group(s)
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-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Output from the "Collaborative Intelligence Analysis" project (Norman PI) in the NIS ITA programme (www.nis-ita.org) and the NSF CISE project “Enabling Privacy-Utility Trade-Offs in Pervasive Computing Systems” (Srivastava PI, https://app.dimensions.ai/details/grant/grant.3479557). In conjunction with its sister publication in IEEE TPDS (DOI: 10.1109/TPDS.2016.2515092), which is not included in this REF submission, this strand of research has been cited in three survey papers including in IEEE IoT Journal and ACM TOSN, and in forums including IEEE TBD, IEEE ICDCS and ICDM.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -