Research Article
Bit-Table Based Biclustering and Frequent Closed Itemset Mining in High-Dimensional Binary Data
Table 1
Performance test using synthetic data.
| Size | Density | Minsupp | Number of closed itemsets | Time (s) | Number of BiMAX biclusters | Time (s) |
| | 10% | 2 | 78 | 0.8 | 78 | ~1 | | 20% | 4 | 140 | 1.1 | 140 | ~1 | | 50% | 15 | 238 | 0.9 | 238 | ~1 | | 10% | 3 | 337 | 5 | 337 | ~2 | | 20% | 7 | 488 | 7 | 488 | ~2 | | 50% | 30 | 694 | 9 | 694 | ~3 | | 10% | 8 | 437 | 17 | 437 | ~5 | | 20% | 22 | 156 | 6 | 156 | 52 | | 50% | 90 | 1038 | 40 | 1038 | 600 | | 10% | 15 | 1318 | 120 | 1318 | 195 | | 20% | 45 | 375 | 33 | 375 | 300 | | 50% | 210 | 283 | 25 | 283 | 300 | | 10% | 20 | 1496 | 196 | 1496 | 600 | | 20% | 60 | 714 | 92 | 714 | 600 | | 50% | 290 | 1030 | 135 | 1030 | 600 |
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