Realistic Analysis of Data Warehousing and Data Mining Application in Education Domain

  • Unique Paper ID: 168262
  • Volume: 11
  • Issue: 5
  • PageNo: 628-635
  • Abstract:
  • Abstract—Data-driven decision support systems, such as data warehouses can serve the requirement of extraction of information from more than one subject area. Data warehouses standardize the data across the organization so as to have a single view of information. Data warehouses can provide the information required by the decision makers. In the education sector, data warehousing and data mining have increasingly become essential tools for enhancing the quality of education, understanding student behaviour, improving learning outcomes, and optimizing institutional performance. This analysis outlines their practical applications, challenges, and benefits within the educational domain.

Copyright & License

Copyright © 2025 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{168262,
        author = {Dr  Akhilesh Saini and Priyanka R. Gondaliya},
        title = {Realistic Analysis of Data Warehousing and Data Mining Application in Education Domain},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {628-635},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168262},
        abstract = {Abstract—Data-driven decision support systems, such as data warehouses can serve the requirement of extraction of information from more than one subject area. Data warehouses standardize the data across the organization so as to have a single view of information. Data warehouses can provide the information required by the decision makers. In the education sector, data warehousing and data mining have increasingly become essential tools for enhancing the quality of education, understanding student behaviour, improving learning outcomes, and optimizing institutional performance. This analysis outlines their practical applications, challenges, and benefits within the educational domain.},
        keywords = {},
        month = {October},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 5
  • PageNo: 628-635

Realistic Analysis of Data Warehousing and Data Mining Application in Education Domain

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