Publication2025
On Classification, Evaluation and Utilization of MCDM Based Feature Selection Techniques
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Smart Innovation Systems and Technologies
- Volume
- 420
- Pages
- 55-70
- Published
- 1 January 2025
- DOI
- 10.1007/978-981-96-0139-4_5
- Scopus ID
- 105002029001
- ISSN
- 21903018
- Authors
- 3
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Comprehensive review of multi-criteria decision making approaches for feature selection in machine learning, advancing data science research methodology and computational analytics capacity
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Review of advanced machine learning feature selection techniques supporting digital technology research and development
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “On Classification, Evaluation and Utilization of MCDM Based Feature Selection Techniques”. Kortex.