Abstract
Parallel processing has turn to be a common programming practice because of its efficiency and thus becomes an interesting field for researchers. With the introduction of multi- core processors as well as general purpose graphics processing units, parallel programming has become affordable. This leads to the parallelization of many of the complex data processing algorithms including algorithms in data mining. In this paper, a study on parallel PrePost+ is presented. PrePost+ is an efficient frequent itemset mining algorithm. The algorithm has been modified as a parallel algorithm and the obtained result is compared with the result of sequential PrePost+ algorithm
Cited by
6 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. Research on Association Rule Mining Algorithm Based on FP-tree;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24
2. Data Intelligence Mining Based on Improved Apriori Algorithm;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17
3. Mining frequent Itemsets from transaction databases using hybrid switching framework;Multimedia Tools and Applications;2023-02-16
4. Performance Evaluation of Sequential Rule Mining Algorithms;Applied Sciences;2022-05-21
5. Subgraph mining in a large graph: A review;WIREs Data Mining and Knowledge Discovery;2022-03-08