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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2024

Optimized Feature Selection Using Modified Social Group Optimization

The record

Type
Publication
Date
1 June 2024
Level
National
Journal
Informatica Slovenia
Volume
48
Issue
11
Pages
195-220
Published
1 June 2024
DOI
10.31449/inf.v48i11.6160
Scopus ID
85203315367
ISSN
03505596
Authors
3
Open access
Yes
Citations
4
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Develops binary variants of Modified Social Group Optimization algorithm for optimal feature selection in machine learning classification achieving improved accuracy.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    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

  1. vb-3.1 Research and development

    Sub-themePrimaryHigh confidenceJudged

    Advances research and development in computational optimization methodologies for machine learning applications.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Optimized Feature Selection Using Modified Social Group Optimization”. Kortex.

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Optimized Feature Selection Using Modified Social Group Optimization · Kortex