Name
Abstract | ||
|---|---|---|
The current GPM algorithm needs many iterations to get good process models with high fitness which makes the GPM algorithm usually time-consuming and sometimes the result can not be accepted. To mine higher quality model in shorter time, a heuristic solution by adding log-replay based crossover operator and direct/indirect dependency relation based mutation operator is put forward. Experiment results on 25 benchmark logs show encouraging results. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CIS.2011.12 | CIS |
Keywords | Field | DocType |
crossover operator,crossover,mutation,indirect dependency relation based mutation operator,heuristic genetic process mining,experiment result,high fitness,genetic process mining,heuristic solution,higher quality model,competitive intelligence,current gpm algorithm,genetic algorithms,benchmark log,data mining,log-replay based crossover operator,gpm algorithm,heuristic,log replay,good process model,mutation operator,heuristic genetic process mining algorithm,computational modeling,genetics,measurement,process control | Dependency relation,Computer science,Artificial intelligence,Operator (computer programming),Genetic algorithm,Process mining,Mathematical optimization,Heuristic,Crossover,Process modeling,Algorithm,Process control,Machine learning | Conference |
ISBN | Citations | PageRank |
978-1-4577-2008-6 | 1 | 0.41 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiafei Li | 1 | 27 | 2.52 |
| Jiafei Li | 2 | 27 | 2.52 |
| Jihong OuYang | 3 | 94 | 15.66 |
| Jihong OuYang | 4 | 94 | 15.66 |
| Mingyong Feng | 5 | 2 | 0.80 |