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英国essay代写:Data mining in e-commerce

2018-06-07 | 来源:51due教员组 | 类别:Essay代写范文

本篇essay代写- Data mining in e-commerce讨论了电子商务中的数据挖掘。数据挖掘,是数据库知识发现中的一个步骤,一种大规模的数据库,拥有以高效的计算能力进行数据获取和处理技术。对于电子商务而言,首要的任务就是吸引客户,而数据挖掘技术的一个明显作用就是通过对数据的分析挖掘出潜在客户。利用数据挖掘,我们还可以推测出客户的兴趣偏好,进行个性化推荐,甚至可以准确判断出用户的潜在需求,提供个性化服务。本篇essay代写51due代写平台整理,供大家从参考阅读。

Data mining,电子商务数据挖掘,essay代写,代写,paper代写

Data mining, also translated as data exploration and data mining, is a step in knowledge discovery of database. Data mining is a massive database, have to efficient computing power, data acquisition and processing technology, which is a lot of original data information from random in mining and grab hidden in one of the deeper, useful and high value of information, marketing for enterprise's decision-making, management, market forecast and development planning, etc. To provide scientific and effective basis and support. At present, the data mining in gradually become a new type of enterprise information processing technology, by many enterprise applications to the actual operation, through to the enterprise overall database, data warehouse, or other database fuzzy, chaotic and incomplete information and data analysis and modeling of extraction processing, to obtain more valuable customer data.

Take taobao.com as an example. As a leader in China's e-commerce industry, it has many C2C individual stores and B2C flagship stores. Taobao can achieve rapid development in a short period of time and is closely connected with its unique advantages. It relies on the network promotion and marketing strategy, more or more through data mining to obtain useful information for customers to provide goods and services.

Electronic commerce with its initial investment cost is low, commodity information variety, wide range of audiences, without being limited by the region in the rapid development of the obvious characteristics of is gradually become a new mode of commercial operation. At a major e-commerce platform APP page every day in countless users, and web page views are also gradually increase, the user's browsing history, users to focus on, the user's shopping preferences and purchasing power users are e-commerce platform managers and distributors focus on the main information. E-commerce is not only greatly reduce the cost of a platform for sellers, do a wide range of publicity for sellers, also with its convenient and comfortable shopping experience gradually changed people's shopping habits, also for many small and medium-sized sellers brought new development.

In order to apply data mining technology in the field of e-commerce, according to purpose of the application of different users choose different data mining algorithms to meet the needs of users, realize the anticipated target, sometimes combine multiple mining algorithm, so as to realize the mining results better.

The most widely used application in enterprises today is log mining in data mining. Through the server record log explores the visitor's demand of access to the electronic commerce platform, get your shopping preferences and browse mode, to recommend to your visitors are interested in, are likely to buy goods, and introduced the corresponding preferential policy and promotion, increase your visitors to the conversion of the buyer. The backstage designer of the website can also get a lot of data mining? Rice Han? It is concluded that the effective information management, optimize the web page and improve web page design, in order to provide personalized recommendation for visitors, the contents of your visitors might be interested in in the prominent position, improve the page views and visitors purchase rate. In addition, not only can be found in the database, data mining hidden information between a vast amount of data, also can help managers make decisions reasonably, find out the business model of some defects and shortcomings, through continuous improvement of business strategy, optimize the management system, and finally enhance the competitiveness of the enterprises. In a word, data mining is an important innovative technology means in e-commerce marketing.

For e-commerce, the primary task is to attract customers, and an obvious role of data mining technology is to find potential customers through data analysis. Server logs can be a complete record traces the history of user access, through the data mining technology, electronic commerce platform administrator can accurately get the user's preferences and potential demand, and according to the different requirements of customers to provide personalized product package services, and implementation of personalized recommendation service page. Now, not only the taobao, the e-commerce platform are at the bus subway publicity board, elevator and their own preferential promotion activities, such as advertising, attract potential customers browse the e-commerce sites, attention to attract customers, and ultimately achieve sales goals.

Understanding customers' actual needs and potential needs has become a key research issue in e-commerce. Through data mining, it can predict customers' interests and preferences, make personalized recommendations, and even accurately determine users' potential needs and provide personalized services. Combined with the user's browsing interest, buying habits and preferences, predict their potential purchase may, for every customer customize their own personalized service plans, or even realize the combination of sales, to encourage users to impulse buying. Through collect customer registration information, including gender, occupation, age, shipping address and other information, classified according to different standards, and mark out the common characteristics of customers in each category, such as spending power and purchase demand, take the corresponding strategies for its characteristics. For example, for students in class will recommend affordable clothing cosmetics, recommend for female family discount goods, and through some preferential packages combined sales, buy in maximum to meet customer demand, bring the profit to e-commerce platform.

E-commerce platform can according to customer's characteristics, the occupation, the buying cycle, purchasing power for clustering, on the basis of the actual conditions for existing customers to meet customer demand for the recommendation and services, thus improve the customer to buy goods and electronic commerce platform service satisfaction and recognition, existing customers into loyal customers. At the same time, we can also use data mining technology to deduce the possible reasons for customer loss, and propose corresponding improvement measures or modify the promotion and marketing strategies of enterprises. From a customer for goods viewed, browsing history and sales on similar products of digging, browse the law of customer acquisition, customer estimates calculated focus of attention to the commodity cycle and consumption, coupled with the change of market, season and consumer trends, according to different products of promotions and discounts, etc. Every day, taobao will have some limited time buying activities, such as buying large amounts of goods. For some existing customers, taobao will send push notifications on mobile apps or computer pages according to customers' previous purchases. Some taobao stores will also send new information of discount and discount according to the telephone number left by customers when they purchase, so as to retain existing customers and reduce or even avoid customer loss.

Customer cluster analysis is also widely used in e-commerce. It refers to the integration, classification and analysis of all historical data through data mining technology. After searching for similar browsing records and preferences of similar products, customers are classified into a similar group of users. Clustering analysis thinks, traces of this kind of similar users may have the same interest and shopping preferences, by comparing some user history in this type of user browse, purchase data recommended to other users, to help find this type of the user's potential demand, as much as possible to accurately predict user behavior, proactive. In taobao's home page, for example, according to the customer's recent list of browsing and buying preferences, at the bottom of the shopping cart will be according to the customer's recent visit to recommend similar products, browse the products customers also read columns.

The development level of big data application in China is lagging behind, and the application research of big data is still at the initial stage. The problems of data presentation, data storage, efficiency and validity of data analysis need to be solved by more research work in the future. Nowadays, the value of data has been paid more and more attention, and the importance of information to enterprises has been increasingly recognized. In the future, data will be used to promote the progress of technology.

In today's economy and the rapid development of network, in the vigorous development of e-commerce environment, e-commerce platform shopping crowd is on the rise in geometry number, online trading also gradually become the main way of people to choose when trading. E-commerce platform in the process of trading in addition to trading information, evaluation information is more and more buyers got the attention of e-commerce platform and distributors, is becoming a main source of network data. The importance of data mining and analysis has become increasingly prominent, and the managers of various e-commerce platforms have paid more and more attention to data mining and data collation. In the era of big data, data mining is extremely necessary for the e-commerce industry, and also has important significance in many industries. Although there are some defects in the current development and application, it will continue to develop and improve in the rapid development in the future.

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