Publication2025
Ensemble Regression Techniques for Enhanced Stock Price Forecasting
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Proceedings of 6th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2025
- Pages
- 1797-1802
- Published
- 1 January 2025
- DOI
- 10.1109/icicnis66685.2025.11315613
- Scopus ID
- 105032721359
- Authors
- 6
- Open access
- No
- Citations
- 2
- 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
8 Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all
Financial markets research using ensemble regression techniques for stock price prediction and trading analytics.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Machine learning research innovation in time-series forecasting and predictive modeling for financial data.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.3 Services and the knowledge economy
Financial data analytics research advancing predictive modeling for economic decision support.
- 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. “Ensemble Regression Techniques for Enhanced Stock Price Forecasting”. Kortex.