Privacy-Preserving Data Mining and Analytics in Big Data
Privacy concerns have gotten more attention as Big Data has spread. The difficulties of striking a balance between the value of data and individual privacy have led to the emergence of privacy-preserving data mining and analytics approaches as a crucial area of research. An overview of the major ide...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/36/e3sconf_iconnect2023_04033.pdf |
| _version_ | 1827897032940978176 |
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| author | Basha M. John Murthy T. Satyanarayana Valarmathy A.S. Abbas Ahmed Radie Gavhar Djuraeva Rajavarman R. Parkunam N. |
| author_facet | Basha M. John Murthy T. Satyanarayana Valarmathy A.S. Abbas Ahmed Radie Gavhar Djuraeva Rajavarman R. Parkunam N. |
| author_sort | Basha M. John |
| collection | DOAJ |
| description | Privacy concerns have gotten more attention as Big Data has spread. The difficulties of striking a balance between the value of data and individual privacy have led to the emergence of privacy-preserving data mining and analytics approaches as a crucial area of research. An overview of the major ideas, methods, and developments in privacy-preserving data mining and analytics in the context of Big Data is given in this abstract. Data mining that protects privacy tries to glean useful insights from huge databases while shielding the private data of individuals. Commonly used in traditional data mining methods, sharing or pooling data might have serious privacy implications. On the other hand, privacy-preserving data mining strategies concentrate on creating procedures and algorithms that enable analysis without jeopardizing personal information. Finally, privacy-preserving data mining and analytics in the Big Data age bring important difficulties and opportunities. An overview of the main ideas, methods, and developments in privacy-preserving data mining and analytics are given in this abstract. It underscores the value of privacy in the era of data-driven decision-making and the requirement for effective privacy-preserving solutions to safeguard sensitive personal data while facilitating insightful analysis of huge datasets. |
| first_indexed | 2024-03-12T22:43:28Z |
| format | Article |
| id | doaj.art-a8277a865c164eeaae0cfe1a29da0adf |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-12T22:43:28Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-a8277a865c164eeaae0cfe1a29da0adf2023-07-21T09:28:46ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013990403310.1051/e3sconf/202339904033e3sconf_iconnect2023_04033Privacy-Preserving Data Mining and Analytics in Big DataBasha M. John0Murthy T. Satyanarayana1Valarmathy A.S.2Abbas Ahmed Radie3Gavhar Djuraeva4Rajavarman R.5Parkunam N.6Assistant Professor, Department of Computer Science and Engineering(Specialization)School of Engineering & TechnologyJain UniversityDepartment of information technology, chaitanya bharathi institute of technologyAssistant Professor, Prince Shri Venkateshwara Padmavathy Engineering CollegeCollege of pharmacy, The Islamic universityTashkent State Pedagogical UniversityDepartment of computer science and engineeringK. Ramakrishnan college of technologyDepartment of Mechanical Engineering,K. Ramakrishnan college of technologyPrivacy concerns have gotten more attention as Big Data has spread. The difficulties of striking a balance between the value of data and individual privacy have led to the emergence of privacy-preserving data mining and analytics approaches as a crucial area of research. An overview of the major ideas, methods, and developments in privacy-preserving data mining and analytics in the context of Big Data is given in this abstract. Data mining that protects privacy tries to glean useful insights from huge databases while shielding the private data of individuals. Commonly used in traditional data mining methods, sharing or pooling data might have serious privacy implications. On the other hand, privacy-preserving data mining strategies concentrate on creating procedures and algorithms that enable analysis without jeopardizing personal information. Finally, privacy-preserving data mining and analytics in the Big Data age bring important difficulties and opportunities. An overview of the main ideas, methods, and developments in privacy-preserving data mining and analytics are given in this abstract. It underscores the value of privacy in the era of data-driven decision-making and the requirement for effective privacy-preserving solutions to safeguard sensitive personal data while facilitating insightful analysis of huge datasets.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/36/e3sconf_iconnect2023_04033.pdf |
| spellingShingle | Basha M. John Murthy T. Satyanarayana Valarmathy A.S. Abbas Ahmed Radie Gavhar Djuraeva Rajavarman R. Parkunam N. Privacy-Preserving Data Mining and Analytics in Big Data E3S Web of Conferences |
| title | Privacy-Preserving Data Mining and Analytics in Big Data |
| title_full | Privacy-Preserving Data Mining and Analytics in Big Data |
| title_fullStr | Privacy-Preserving Data Mining and Analytics in Big Data |
| title_full_unstemmed | Privacy-Preserving Data Mining and Analytics in Big Data |
| title_short | Privacy-Preserving Data Mining and Analytics in Big Data |
| title_sort | privacy preserving data mining and analytics in big data |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/36/e3sconf_iconnect2023_04033.pdf |
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