Protection of data privacy from vulnerability using two-fish technique with Apriori algorithm in data mining-Reference-Cited by-同舟云学术

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Protection of data privacy from vulnerability using two-fish technique with Apriori algorithm in data mining

Published:2022-05-20 Issue:16 Volume:78 Page:17559-17593
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Dhinakaran D.,Prathap P. M. Joe

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-022-04517-0.pdf

Reference45 articles.

1. Al Shorman HM, Jbara YH (2017) An improved association rule mining algorithm based on Apriori and ant colony approaches. IOSR J Eng 7(7):18–23

2. Arava K, Lingamgunta S (2019) Adaptive k-anonymity approach for privacy preserving in cloud. Arab J Sci Eng 66:1–8

3. Balashunmugaraja B, Ganeshbabu TR (2022) Privacy preservation of cloud data in business application enabled by multi-objective red deer-bird swarm algorithm. Knowl Based Syst 236:107748

4. Derouiche A, Layeb A, Habbas Z (2020) Metaheuristics guided by the apriori principle for association rule mining: case study-CRO metaheuristic. Int J Organ Collect Intell 10(3):14–37

5. Djenouri Y, Comuzzi M (2017) Combining Apriori heuristic and bio-inspired algorithms for solving the frequent itemsets mining problem. Inf Sci 420:1–15

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