Innovative Approaches to Knowledge Representation and Insight Generation for Structured Dataset

  • Unique Paper ID: 170228
  • PageNo: 3633-3637
  • Abstract:
  • DataSensei is an AI powered platform that transforms raw datasets into actionable insights through advanced preprocessing, knowledge representation, and predictive analytics. Key features include pattern detection, natural language data queries via Google Gemini API, and ML forecasting using tools like Scikitlearn and XGBoost. This paper outlines its architecture, challenges, and future enhancements, showcasing its potential to streamline datadriven decisionmaking.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{170228,
        author = {Naveenkumar D and Mithun Raaj S and Naveen Kumar J and Santhosh K and Santhoshi P},
        title = {Innovative Approaches to Knowledge Representation and Insight Generation for Structured Dataset},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {3633-3637},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170228},
        abstract = {DataSensei is an AI powered platform that transforms raw datasets into actionable insights through advanced preprocessing, knowledge representation, and predictive analytics. Key features include pattern detection, natural language data queries via Google Gemini API, and ML forecasting using tools like Scikitlearn and XGBoost. This paper outlines its architecture, challenges, and future enhancements, showcasing its potential to streamline datadriven decisionmaking.},
        keywords = {},
        month = {December},
        }

Cite This Article

D, N., & S, M. R., & J, N. K., & K, S., & P, S. (2024). Innovative Approaches to Knowledge Representation and Insight Generation for Structured Dataset. International Journal of Innovative Research in Technology (IJIRT), 11(6), 3633–3637.

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