Table 3 Varying number of transactions
From: On using MapReduce to scale algorithms for Big Data analytics: a case study
Number of transactions | Execution time (s) | Decreased time (%) | |
|---|---|---|---|
AprioriPMR | Our AprioriS | ||
10,000 | 11.17 | 8.88 | 20.6 |
20,000 | 17.42 | 15.42 | 11.5 |
30,000 | 25.00 | 22.54 | 9.8 |
40,000 | 31.68 | 28.83 | 9.0 |
50,000 | 38.52 | 35.84 | 7.0 |
60,000 | 43.26 | 40.62 | 6.1 |
70,000 | 49.50 | 46.62 | 5.8 |
80,000 | 57.29 | 54.07 | 5.6 |
90,000 | 63.08 | 60.87 | 3.5 |
100,000 | 70.06 | 67.02 | 4.3 |
110,000 | 78.06 | 74.08 | 5.1 |
120,000 | 81.58 | 78.85 | 3.3 |