Research Article
Research on Dynamic Programming Strategy of Bayesian Network Structure Learning
Table 3
The setting of experimental parameters.
| | Number | Data sets | Evaluation criteria | Number of data sets | Analysis interval | Execution times | Compared algorithms |
| | 1 | Sampled from networks (https://www.bnlearn.com/bnrepository) | Time consumption (s) | 8 | 1000, 2000, 5000, 10000 | 1 | DFSDP, CBDP, BFSDP | | 2 | Sampled from networks | BIC score | 8 | 1000, 2000, 5000, 10000 | 1 | DFSDP, CBDP, BFSDP | | 3 | UCI database (https://archive.ics.uci.edu/ml/data%20sets.html) | Time consumption (s) | 14 | Fixed sample size | 1 | DFSDP, CBDP, BFSDP | | 4 | UCI database | BIC score | 14 | Fixed sample size | 1 | DFSDP, CBDP, BFSDP |
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