Design and Implementation of Process Mining System Based on Genetic Algorithm

The design and implementation of mining system is critical in intelligent process mining system, however it has an issue with erroneous performance positioning. The typical Particle swarm arithmetic is unable to address the design and implementation issue in intelligent process mining system, and the result is insufficient. As a result, a Genetic algorithm-based design and implementation of process mining system based on Genetic algorithm is provided, and design and implementation of process mining system based on Genetic algorithm is assessed. To begin, the simulation biology theory is used to discover the influencing elements, and the indicators are split based on the design and implementation of mining system's needs to decrease interference factors in the design and implementation of mining system. The simulation biology theory is then used to create a Genetic algorithm design and implementation of mining system scheme, and the outcomes of the design and implementation of mining system are thoroughly examined. The MATLAB simulation results reveal that, under particular evaluation conditions, the Genetic algorithm outperforms the standard Particle swarm arithmetic in terms of design and implementation of mining system accuracy and time of influencing variables.