Big Data Mining Method of E-Commerce Consumption Pattern Based on Mobile Platform

Abstract

With the emergence of e-commerce, not only can people more abundantly obtain a variety of products and services and faster, but also e-commerce can also greatly improve people's quality of life. This study aims to study how to analyze the big data mining method based on the e-commerce consumption pattern of the mobile platform. In fact, it is to study the role of big data mining methods in e-commerce consumption patterns. This study proposes why we should study big data mining methods and introduces the conceptual knowledge around e-commerce and data mining. We can see that e-commerce is not only convenient but also low in cost. Ten consumers scored 65–78 points for the competitiveness of e-commerce, and 73–84 points for low cost, with the highest score for convenience. It can be seen that the biggest advantage of e-commerce is convenience. It can be seen that the percentage of Taobao in 2015 was 45.6%, and the percentage in 2018 was 79.5%, so it can be seen that e-commerce is rapidly developing. From the results of the experimental analysis, it can be seen that e-commerce is loved by the public, so it is the most important to make the healthy and sustainable development of e-commerce, and data mining can mine a large amount of data, thereby promoting the development of e-commerce.