RETRACTED ARTICLE: Decision support model of e-commerce strategic planning enhanced by machine learning

Abstract

The effectiveness of e-commerce strategic planning determines whether e-commerce can achieve the expected goals and performance. Technology adoption has become the main research idea for research organizations to adopt e-commerce, but the study of strategic planning process is still in its infancy. Construct a supervised machine learning model with strong generalization ability to solve the decision support problem of e-commerce strategic planning more effectively. A decision support method integrating rough set and support vector machine (SVM) is proposed, which is based on a three-stage SVM hybrid model. Decision support method, e-commerce strategic planning crisis early warning decision model is based on parallel meta-heuristic strategy and FKNN. Experiments show that the intelligent decision-making methods proposed in this paper can obtain good performance, and achieve the expected results and objectives, and promote the further development of the machine learning method itself, which has certain theoretical significance and practical application value.