A Survey on Particle Swarm Optimization for Association Rule Mining

Association rule mining (ARM) is one of the core techniques data to discover potentially valuable association relationships from mixed datasets. In current research, various heuristic algorithms have been introduced into ARM address high computation time traditional ARM. Although a more detailed review based on available, this paper differs existing reviews in that we expected it provide comprehensive and multi-faceted survey emerging which could reference for researchers field help them understand state-of-the-art PSO-based algorithms. paper, research results. Heuristic were divided three main groups, including biologically inspired, physically other Additionally, different types their evaluation metrics are described status improvement PSO discussed stages, swarm initialization, algorithm parameter optimization, optimal particle update, velocity position updates. Furthermore, discuss applications propose further directions by exploring problems.