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| 主要な著者: | , |
|---|---|
| フォーマット: | Recurso digital |
| 言語: | 英語 |
| 出版事項: |
Zenodo
2026
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.5281/zenodo.20047306 |
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目次:
- <p class="MsoBodyText"><em><span>The rapid expansion of data-driven applications demands efficient and accessible tools for machine learning model<span> </span>development<span> </span>and<span> </span>business<span> </span>intelligence.<span> </span>This<span> </span>paper<span> </span>presents<span> </span>AI<span> </span>Analyst<span> </span>ULTRA<span> </span>—<span> </span>an<span> </span>interactive web-based data analytics platform that enables end-to-end automation of the data science workflow. The system accepts CSV datasets uploaded by the user, automatically performs data cleaning and preprocessing, delivers rich interactive visualisations, and applies multiple machine learning techniques including Regression, Clustering,<span> </span>and<span> </span>Anomaly<span> </span>Detection.<span> </span>AI-driven<span> </span>insights<span> </span>and<span> </span>business<span> </span>decisions<span> </span>are<span> </span>generated<span> </span>through<span> </span>integration with the Gemini API. The platform is evaluated on benchmark datasets and demonstrates strong analytical capability across diverse domains. The proposed platform lowers the barrier for non-expert users to apply machine learning and provides a reproducible, extensible baseline for automated analytics research.</span></em></p>