Privacy Preserving Data Mining using Concept of Dimensionality Reduction
Abstract & Details
Research Area
Data Mining (Computer Engineering)
Keywords
accuracy
privacy
dimensionality reduction
eigen values.
Abstract
Privacy-preserving data mining is basically the branch of study of various valid mining models. Privacy-preserving data mining hide sensitive information of the data. If the data is flowing continuously, it would be necessary to rescan the database, which leads to more computation time and unable to respond properly to the user. As per study it is said that accuracy of data is inversely proportional to data transformation. So there is need to develop system which preserves privacy along with accuracy.
License
This work is licensed under a Creative
Commons
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Gargi Shah | Vadodara institute of engineering and research |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Shah, Gargi (2017). Privacy Preserving Data Mining using Concept of Dimensionality Reduction. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 4029-4032.
MLA Style
Shah, Gargi. "Privacy Preserving Data Mining using Concept of Dimensionality Reduction." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 4029-4032.
IEEE Style
Gargi Shah, "Privacy Preserving Data Mining using Concept of Dimensionality Reduction," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 4029-4032, 2017.
Vancouver Style
Shah Gargi. Privacy Preserving Data Mining using Concept of Dimensionality Reduction. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):4029-4032.
Harvard Style
Shah, Gargi (2017) 'Privacy Preserving Data Mining using Concept of Dimensionality Reduction', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 4029-4032.
Chicago Style
Shah, Gargi. "Privacy Preserving Data Mining using Concept of Dimensionality Reduction." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 4029-4032.
Turabian Style
Shah, Gargi. "Privacy Preserving Data Mining using Concept of Dimensionality Reduction." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 4029-4032.
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