Towards Enhancing the Performance of Parallel FP-Growth on Spark
Frequent itemset mining (FIM) is a crucial tool for identifying hidden patterns in information. FP-Growth is an FIM algorithm used to find associations. When the data size increases, the execution of FIM algorithms on a single machine suffers from computational problems, such as memory and time cons...
| Published in: | IEEE Access |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9661337/ |