data mining

  • Unique Paper ID: 142953
  • Volume: 2
  • Issue: 7
  • PageNo: 250-252
  • Abstract:
  • Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations.
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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{142953,
        author = {samiksha yadav},
        title = {data mining},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {7},
        pages = {250-252},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=142953},
        abstract = {Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations.},
        keywords = {data mining, data warehouse, hidden information.},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 2
  • Issue: 7
  • PageNo: 250-252

data mining

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