英语大作业

Abstract: In the modern society, database technology is developing rapidly, and the data information contained therein is also increasing. In the process of enterprise operation, the database system is gradually being widely applied to daily information management, which is to effectively organize and utilize the massive information in the database through relevant technical means to help relevant data owners find valuable information and knowledge. Guide the development planning of the enterprise and improve the operational efficiency of the enterprise. This has become one of the hot topics of current e-commerce industry operators, and data mining technology can help e-commerce operators solve such problems. Data mining is a comprehensive use of related technologies such as artificial intelligence and natural language understanding. The purpose is to extract useful and valuable information or patterns from large amounts of data. This topic first analyzes and summarizes the research results of scholars at home and abroad, and makes a preliminary understanding of the application of data mining in e-commerce. Then it expounds the methods of data mining and e-commerce concepts and data mining. This paper also uses theoretical analysis and Case studies and other research methods, as well as questionnaire surveys of employees from different enterprises, fully discuss the difficulties in data mining technology in the field of e-commerce, the difficulties in the process of promotion, and the related methods to solve the bottleneck of e-commerce development. Research, in this way to explore the convergence of e-commerce development and data mining, and comprehensively promote the application of technological innovation. Through the research of this paper, we have an understanding of the application status of data mining technology in e-commerce. The problems and solutions can also provide a good platform for better application of data mining in e-commerce.Keywords: e-commerce; data mining; technical research;1 Application status and development of data mining technology in e-commerce Data Mining Technology Application Overview: From a macro perspective, data mining technology is conducive to identifying and analyzing user behavior. In a larger depth and breadth, it summarizes users' consumption habits and behavioral preferences, which is beneficial to the subject and object to improve their service methods and product performance. To get a better customer experience and customer satisfaction. Data mining, as a high-level modern technology, has extremely complex logic and computational methods. The internal logic and methods also have different characteristics. According to a survey of 50 employees from different companies, data mining technology is widely used in e-commerce. In 74% of e-commerce, up to 81% of enterprises surveyed use data mining technology. The application of data mining technology in e-commerce is much higher than the percentage I expected. It can be seen that the current application is very wide.2 Current problems in data mining technology and analysis of its causesWith the development of information technology and network technology, the e-commerce industry based on network technology is developing continuously. Internet commerce has gradually become an indispensable force in social and economic development. New commodities, new models, and new services are constantly emerging for the people. The production and life of the masses provide convenience. A large number of commodity agglomerations make it possible to conduct fast, efficient and extensive transactions, and to continuously promote the prosperity of the commodity economy. However, in the actual transaction process, the asymmetry of information leads to the production of a large number of redundant commodities, which is complicated in some market transactions, high in time and space, and large in repeated investment, which is not conducive to economic and efficient development. Therefore, how to explore the intrinsic relationship between consumers, commodities, logistics and other affairs in massive data, form a dynamic and intelligent commodity economic network, obtain potential information of consumers, and explore potential laws, problems and development trends in the market development process. Maximizing the role of big data has become an urgent problem to be solved, and it is also an irreversible direction for future development. How to make good use of data mining tools, the main problems at present are as follows:2.1 Data mining analysis variable selection.According to statistics, the complexity of the analysis variables is a common problem in the application of data mining technology. Among the 50 companies surveyed, 43 have such problems. The quantity of data and the dimension of data are the two most important concepts of data mining. The more massive data and multiple dimensions make the data structure relationship more complicated, making data analysis more difficult. In the process, the concept of data analysis variables is naturally generated. Data analysis variables are the key variables and determinants for controlling data mining results. It is very difficult to select a suitable variable analysis in a large number of commodities and user information in e-commerce.2.2 Selection of data extraction methods.Data extraction is to divide a large amount of data into several parts, extract the concentrated key data modules by sampling, and integrate them into partial core data. After extraction, form key data such as histogram, pie chart, mean value, and median. From the most primitive state of the data and the most basic form of information data, from low-level abstraction to high-level analysis. And this process is not done overnight. It is necessary to analyze according to the actualsituation of the enterprise and choose which level, so there is a certain difficulty. Statistics have obtained this problem in 37 of the 50 companies that have such problems, and we need to study and analyze.3 Amazon IntroductionAmazon is a world-renowned company listed on NASDAQ in the United States. The company's main business is online retail and Internet operations. The company was founded in the late 20th century. With the continuous expansion of production and operation, the company is now in the company. The world's top 500 companies, the company also expanded to include Alexa Internet, a9, lab126 and many other world-renowned subsidiaries. The company has a wide range of products, a large number of products, and a total of more than 1.2 million types of goods. For such a wide variety of products, the amount of purchase demand, cost settlement, and after-sales service is undoubtedly huge. How to further strengthen customer service, increase sales and satisfaction, and become a problem that Amazon needs to solve. Amazon also attaches great importance to network integrity. In response to the customer's focus on counterfeit goods, it has launched a full-process supply chain management and genuine guarantee through the issuance of a good faith consumption agreement to promote mutual trust between customers and enterprises. Amazon has launched a commitment to consumers "everyday low price, genuine guarantee." Wang Hanhua, President of explained: "As the site of Amazon's online retailer with the largest variety of products in the world in China, Amazon has genuine guarantees for all kinds of products such as software digital, home appliances, toys and gifts."By analyzing the production and operation strategies of most e-commerce companies, we find that the decline of most companies is closely related to the backwardness of technology. And Amazon's success is also due to its use of data mining technology in e-commerce. Although it is a main e-commerce company, Amazon is also striving to build its own logistics system, and constantly improve logistics and supply chain protection, so that it can promote the development of supply chain efficiently and quickly. In addition, the general use of data mining technology, in-depth understanding of customer needs, control costs from the results of data analysis and effective product promotion. These have made Amazon a standing position.4 Application effect of data mining technology in AmazonThe characteristics of China's e-commerce development are that the application scope of e-commerce is becoming wider and wider, and the integration of various industries and e-commerce is becoming more and more close. E-commerce is impacting the entire business information society with rapiddevelopment momentum. Amazon's application of data mining technology to e-commerce not only provides customers with convenient transaction methods and a wide range of choices, but also enables merchants to have a deeper understanding of customer demand information and shopping behavior characteristics. Data mining technology can help decision-makers find potential links to data problems, find neglected factors, and bring huge benefits to Amazon. Data mining technology is also considered to solve the data explosion and information poverty in the current era. An effective method, we have reason to believe that data mining technology will promote e-commerce into a deeper development. Amazon will also seek more advantages and benefits in the continuous development of this technology.5 ConclusionMining data and information processing is very large. If the data is fully utilized, it will provide us with a lot of knowledge and rules, let us find more valuable information, and bring a lot of benefits to the website. The continuous deepening and maturity of Web mining technology will greatly promote the development of e-commerce. As data mining technology is continuously applied to various fields and various algorithms, it is continuously applied to the field of data mining, which will further stimulate the potential of data mining technology and further promote the development and application of digital mining technology. This is also inseparable. The popularity of the Internet and the rapid development of data mining. The important business information hidden behind the continuous surge of enterprise data has become a hotspot in the field of e-commerce research. Making full use of data mining, it can quickly and effectively gather information of commercial value, adjust sales strategies, optimize resource allocation, and provide personalized services. Customers can be categorized in e-commerce, and data mining techniques can be used to analyze customer capabilities to maintain customer satisfaction in order to maximize business profits.references[1] Ren Xin. Web data mining and its application in e-commerce [D]. Guiyang: Guizhou University, 2008.[2] Shen Hongchao. Application of Data Mining Technology in E-commerce [D]. Nanning: Jiangnan University, 2009.[3] Han Ying. On the Application of Data Mining Technology in E-commerce[J]. Taiyuan City Vocational and Technical College, 2013, 4:170-171.[4] Huang Ling. Application of Web Data Mining in E-commerce。