Support Vector Machine (SVM) Marketing Strategy Analysis Method Based on Time Series

In the era of “Internet plus”, the traditional marketing strategies of enterprises need to be adjusted, including the combination of advanced technology for marketing and innovative development of marketing strategies. Innovative marketing strategy is an opportunity and challenge faced by the development of enterprises. Seize the development opportunity and actively innovate marketing strategy to improve their own marketing level and enhance their core competitiveness. The purpose of this paper is to study the marketing strategy of support vector machine based on time series. In this paper, from the perspective of machine learning, in order to “Internet +” era of development as the background, according to the reality and the related theoretical basis, method innovation enterprise marketing strategy as the research object, build support vector machine (SVM) based on time series of marketing strategy framework, and starting from the actual situation of the framework of empirical analysis, in the hope of enterprise marketing strategy can fully embody the dynamic real-time dynamic. Enterprises use support vector machine (SVM) based on time series to predict and analyze marketing strategies, which can well deal with emergencies, deal with risks in time, solve crises faced by enterprises, contribute to the rapid development of enterprises, and promote the steady forward development of enterprises.