Feature grouping and selection : A graph-based approach
- Submitting institution
-
Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 41429906
- Type
- D - Journal article
- DOI
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10.1016/j.ins.2020.09.022
- Title of journal
- Information Sciences
- Article number
- -
- First page
- 1256
- Volume
- 546
- Issue
- -
- ISSN
- 0020-0255
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2020
- 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
-
4
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presented a novel graph-based feature grouping framework, addressing a range of different types of feature relationship. Published in Information Sciences, the premier journal in the research area.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -