网络营销中数据挖掘技术的应用（Application of data mining technology in network marketing）.doc

网络营销中数据挖掘技术的应用（Application of data mining technology in network marketing） Keywords: network marketing, data mining, technology, application Preface In recent years, more and more enterprises have the communication, network technology and computer application into the daily management of enterprises and business development process, all kinds of enterprise informatization level is also rising. The extensive application of modern science and technology and information technology has greatly improved the efficiency and economic efficiency of enterprises. However, in the use of information technology to enterprises brought convenient and efficient, but also constantly emerging new problems and needs. The enterprise after many years of accumulation of a large amount of historical data, these data are almost no use value for the current enterprises day-to-day business activities, to leave useless gesture of burden. Moreover, storing these historical data can cause great difficulties and cost to the enterprise. The application of data mining technology is imperative in network marketing, a comprehensive and detailed analysis of the database resources and extract valuable information to support business decisions from, in order to control the operation cost and increase economic benefits. This paper will discuss and analyze several applications of data mining technology in network marketing. 1 、 customer relationship management Customer relationship management in network marketing, business competition is a customer-centric competitive state of customers, retain customers, expand customer base, establish close relationship with customers, customer needs analysis and create customer demand, marketing is the key question. CRM is a new concept in the field of marketing and information technology, which was born in the early 90s of the last century in 90s. At present, the research and development phase of such products at home and abroad. However, continuing with the progress