SMASK: Parallel Probabilistic Privacy-Preserving Frequent Pattern Mining Technique for Big Data
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64076-6_22
Reference20 articles.
1. Fimi dataset respsitory. http://fimi.uantwerpen.be/data/. Accessed 30 May 2023
2. IBM quest synthetic data generator. https://github.com/nrthyrk/quest. Accessed 02 Feb 2022
3. Kaggle retail transactional dataset. https://www.kaggle.com/retailtransactiondata
4. Amma, N.N., Dhanaseelan, F.R.: Optimal privacy preserving scheme based on modified ANN and PSO in cloud. In: Research Anthology on Privatizing and Securing Data, pp. 773–793. IGI Global (2021)
5. Canbay, Y., Sağıroğlu, S.: Big data anonymization with spark. In: 2017 International Conference on Computer Science and Engineering (UBMK), pp. 833–838. IEEE (2017)
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