Research on Optimization of User Behavior Data Mining Based on Apriori Algorithm

Aiming at the problem of user behavior data mining optimization, an optimization method combining Apriori algorithm and gradient algorithm is proposed. Apriori algorithm has the advantage of global optimization, but there are easy prematurity and local defects of optimal performance is poor, so this article combined with the gradient algorithm, by using the iterative process of the optimal solution, is to accelerate the search speed and guarantee the method of gradient algorithm converges to the global optimal solution, to achieve the global convergence of the method and efficiency of computation speed.