Diagnosis and Optimization of Marketing Strategy Based on Association Rule Mining Algorithm

In marketing, can not leave the sup. of modern information technology means. Through the Internet database, enterprises use big date mining (DM) technology to analyze the massive data collected, and provide scientific data sup. For marketing decision-making. DM will also help enterprises to achieve more accurate segmentation and positioning of customers, and accurately obtain the needs of potential customers. In this article, we will take the most classical Apriori algorithm of association rules as the research object, and the classical algorithm has also completed the parallelization implementation in the MapReduce framework. This article draws on the domestic and foreign marketing research theory, analyzes the inside and outside environment of Xiaomi smart mobile phone, starts from the marketing 4P theory, studies the current marketing strategy, and on this basis, formulates targeted optimization plan, and has been preliminarily confirmed. At the same time, in view of the current domestic market mobile phone product homogeneity phenomenon is serious, consumer demand diversification and other status quo. Combined with the Apriori algorithm under the association rules, this article deeply studies the influence of DM on the consumer behavior and personalized marketing of Xiaomi smart mobile phone customers, as well as the new marketing strategy.