Research Article
Binary Particle Swarm Optimization-Based Association Rule Mining for Discovering Relationships between Machine Capabilities and Product Features
Table 9
Wilcoxon’s test (α=0.05) on the different measures for ARMGA and ARMGSA.
| Measure | Algorithms | p-value | Hypothesis |
| Leverage | BPSO-ARM vs. ARMGA | 0.002 | Rejected | BPSO-ARM vs. ARMGSA | 0.13 | Not rejected | Comprehensibility | BPSO-ARM vs. ARMGA | 0.039 | Rejected | BPSO-ARM vs. ARMGSA | 0.084 | Not rejected | Similarity | BPSO-ARM vs. ARMGA | 0.002 | Rejected | BPSO-ARM vs. ARMGSA | 0.002 | Rejected | Number of rules | BPSO-ARM vs. ARMGA | 0.001 | Rejected | BPSO-ARM vs. ARMGSA | 0.001 | Rejected |
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