Big Data Analytics in Association Rule Mining: A Systematic Literature Review

Author:

Shahin Mahtab1,Arakkal Peious Sijo1,Sharma Rahul1,Kaushik Minakshi1,Ben Yahia Sadok2,Shah Syed Attique3,Draheim Dirk1

Affiliation:

1. Information Systems Group,Tallinn University of Technology,Tallinn,Estonia, Estonia

2. Software Science Department,Tallinn University of Technology,Tallinn,Estonia, Estonia

3. Data Systems Group,Institute of Computer Science,University of Tartu,Tartu,Estonia, Estonia

Funder

This work in the project ICT programme was supported by the European Union through European Social Fund

Publisher

ACM

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Association Rule Mining with a Memory-Efficient Apriori Algorithm: Optimized Transaction Pruning;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

2. Privacy-preserving association rule mining: a survey of techniques for sensitive rule identification and enhanced data protection;International Journal of Computers and Applications;2024-01-29

3. Association Rule Mining for Occupational Wellbeing During COVID;Advances in Intelligent Systems and Computing;2024

4. Association Rule Mining-Based Food Preferences Analysis Using FP-Growth Method;Algorithms for Intelligent Systems;2024

5. Sorting the Digital Stream: Big Data-driven Insights into Email Classification for Spam and Ham Detection;2023 IEEE International Conference on Big Data (BigData);2023-12-15

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