A review paper on Privacy-Preserving Data Mining
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| Autores principales: | , , |
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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Zenodo
2013
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| _version_ | 1866901912308154368 |
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| author | Patel, Mohnish Richariya, Prashant Shrivastava, Anurag |
| author_facet | Patel, Mohnish Richariya, Prashant Shrivastava, Anurag |
| contents | <p><span>Data mining technology help us in extraction of useful knowledge from large data sets. The process of data collection and data dissemination may, however, result in an inherent risk of privacy threats. Some private information about individuals, businesses and organizations has to be suppressed before it is shared or published. The privacy-preserving data mining (PPDM) has thus become an important issue in current years. This paper we propose an evolutionary privacy-preserving data mining technology to find appropriate method to perform secure transactions into a database</span> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14613361 |
| institution | Zenodo |
| language | eng |
| publishDate | 2013 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A review paper on Privacy-Preserving Data Mining Patel, Mohnish Richariya, Prashant Shrivastava, Anurag data driven artificial intelligence technology Data Warehousing <p><span>Data mining technology help us in extraction of useful knowledge from large data sets. The process of data collection and data dissemination may, however, result in an inherent risk of privacy threats. Some private information about individuals, businesses and organizations has to be suppressed before it is shared or published. The privacy-preserving data mining (PPDM) has thus become an important issue in current years. This paper we propose an evolutionary privacy-preserving data mining technology to find appropriate method to perform secure transactions into a database</span> </p> |
| title | A review paper on Privacy-Preserving Data Mining |
| topic | data driven artificial intelligence technology Data Warehousing |
| url | https://doi.org/10.5281/zenodo.14613361 |