Research Article
A Genetic Algorithm Based Multilevel Association Rules Mining for Big Datasets
Table 3
Number of association rules mined from 1000 and 2000 transactions in two datasets.
| Results from dataset 1 | Number of transactions
| Type | Time (s) | 62.5 | 125 | 250 | 400 | 1000 | 2000 | 2500 |
| 1000
| GA | 32.8 | 67.7 | 94.4 | 97 | 97 | 97 | 97 | AP | 0 | 0 | 0 | 1 | 56 | 98 | 98 | 2000
| GA | 7 | 30.4 | 66.9 | 92.3 | 116.6 | 116.6 | 116.6 | AP | 0 | 0 | 0 | 0 | 35 | 97 | 118 |
| Results from dataset 2 | Number of transactions
| Type | Time (s) | 15 | 20 | 40 | 100 | 200 | 400 | 600 |
| 500
| GA | 57.6 | 97.2 | 150.9 | 151 | 151 | 151 | 151 | AP | 0 | 0 | 0 | 46.4 | 130 | 151 | 151 | 1000
| GA | 0 | 57.3 | 130.9 | 147 | 147 | 147 | 147 | AP | 0 | 0 | 0 | 39 | 74 | 141 | 147 |
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