Publication2026
Enhancing stock market prediction: Addressing non-linear complexities using advanced machine learning algorithms
- Industry, Innovation and Infrastructure
- Innovation, Science and Technology
The record
- Type
- Publication
- Date
- 25 June 2026
- Level
- National
- Journal
- Aip Conference Proceedings
- Volume
- 3414
- Issue
- 1
- Published
- 25 June 2026
- DOI
- 10.1063/5.0331118
- Scopus ID
- 105043759292
- ISSN
- 0094243X
- Authors
- 6
- 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
Comparative analysis of machine learning algorithms including random forest and support vector regression for non-linear stock data modeling advances computational research methods.
- 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 Innovation, Science and Technology
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Comparative analysis of machine learning algorithms including random forest and support vector regression for non-linear stock data modeling advances computational research methods.
- 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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- 1
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Citing this record
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KIIT Deemed to be University. “Enhancing stock market prediction: Addressing non-linear complexities using advanced machine learning algorithms”. Kortex.