Data Mining: Techniques and Applications

  • Unique Paper ID: 147108
  • Volume: 5
  • Issue: 4
  • PageNo: 340-344
  • Abstract:
  • Big data refers to data sets that consist of a large amount of data. Most of the data in these sets are unstructured and complex to understand. The data sets are so large that traditional storage and processing techniques are insufficient to convert it into information or other forms for various requirements. In this paper, we have discussed about various data mining techniques that can be applied on large data sets to get the required results. We have also discussed the various fields where these data mining techniques can be applied to obtain solutions.

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{147108,
        author = {Riya Chauhan and Anupama Chauhan and Bharti Jha and Vinay Jain},
        title = {Data Mining: Techniques and Applications},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {4},
        pages = {340-344},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147108},
        abstract = {Big data refers to data sets that consist of a large amount of data. Most of the data in these sets are unstructured and complex to understand. The data sets are so large that traditional storage and processing techniques are insufficient to convert it into information or other forms for various requirements. In this paper, we have discussed about various data mining techniques that can be applied on large data sets to get the required results. We have also discussed the various fields where these data mining techniques can be applied to obtain solutions.},
        keywords = {data mining,  knowledge discovery, applications, techniques},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 5
  • Issue: 4
  • PageNo: 340-344

Data Mining: Techniques and Applications

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