Open Access
Issue
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
Article Number 04033
Number of page(s) 9
Section Computer Science
DOI https://doi.org/10.1051/e3sconf/202339904033
Published online 12 July 2023
  1. Agrawal, R., & Srikant, R. (2000). Privacy-preserving data mining. In ACM SIGMOD Record (Vol. 29, No. 2, pp. 439–450). ACM. [CrossRef] [Google Scholar]
  2. Kantarcioglu, M., & Clifton, C. (2004). Privacy-preserving distributed mining of association rules on horizontally partitioned data. IEEE Transactions on Knowledge and Data Engineering, 16(9), 1026–1037. [CrossRef] [Google Scholar]
  3. Dwork, C. (2006). Differential privacy. In Proceedings of the International Colloquium on Automata, Languages, and Programming (pp. 1–12). Springer. [Google Scholar]
  4. Aggarwal, C.C., & Yu, P.S. (2008). Privacy-preserving data mining: Models and algorithms. Springer Science & Business Media. [CrossRef] [Google Scholar]
  5. Machanavajjhala, A., Kifer, D., Gehrke, J., & Venkitasubramaniam, M. (2007). L- diversity: Privacy beyond k-anonymity. ACM Transactions on Knowledge Discovery from Data (TKDD), 1(1), 3. [CrossRef] [Google Scholar]
  6. Zhang, X., Zhang, Y., & Fung, B.C. (2018). Privacy-preserving data mining: A comprehensive survey and recent developments. ACM Computing Surveys (CSUR), 51(2), 1–46. [Google Scholar]
  7. Liu, Q., Yang, Y., Xiong, L., & Xiao, X. (2014). Differentially private data release through multidimensional partitioning. IEEE Transactions on Knowledge and Data Engineering, 26(12), 2949–2962. [Google Scholar]
  8. Chen, R., & Liu, Q. (2018). Privacy-preserving big data analytics: A survey towards data privacy for the public. Information Fusion, 42, 51–61. [CrossRef] [Google Scholar]
  9. Xue, M., Zheng, X., Yu, H., & Li, W. (2019). Privacy-preserving data mining in big data: A survey. IEEE Access, 7, 130402–130419. [Google Scholar]
  10. Shoukry, A.M., & Abbadi, A.E. (2019). Privacy-preserving data mining: A systematic literature review. Journal of Big Data, 6(1), 1–38. [CrossRef] [Google Scholar]
  11. Li, J., Yu, S., Zhang, Q., & Xiang, Y. (2020). A survey on privacy-preserving data mining and machine learning. Journal of Parallel and Distributed Computing, 135, 243–256. [Google Scholar]
  12. Dobaria, A.D., & Vora, V.S. (2023). Efficacy of decentralized CSS clustering model over TWDP fading scenario. International Journal on Recent and Innovation Trends in Computing and Communication, 11(4), 317–324. doi: 10.17762/ijritcc.v11i4s.6574 [CrossRef] [Google Scholar]
  13. Baser, P., Saini, J.R., & Baser, N. (2023). Gold commodity price prediction using tree-based prediction models. International Journal of Intelligent Systems and Applications in Engineering, 11(1s), 96–102. Retrieved from www.scopus.com [Google Scholar]
  14. Sanchez, F., Dordevic, S., Georgiev, I., Jacobs, M., & Rosenberg, D. Exploring Generative Adversarial Networks for Image Generation. Kuwait Journal of Machine Learning, 1(4). Retrieved from http://kuwaitjoumals.com/index.php/kjml/artide/view/147 [Google Scholar]
  15. Kulkarni, L. . (2022). High Resolution Palmprint Recognition System Using Multiple Features. Research Journal of Computer Systems and Engineering, 3(1), 07–13. Retrieved from https://technicaljournals.org/RJCSE/index.php/journal/article/view/35 [Google Scholar]
  16. Deshpande, V. (2021). Layered Intrusion Detection System Model for The Attack Detection with The Multi-Class Ensemble Classifier . Machine Learning Applications in Engineering Education and Management, 1(2), 01–06. Retrieved from http://yashikajournals.com/index.php/mlaeem/article/view/10 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.