Production And Application Of Digital Label Based On Cookie

With the development of information society, the Internet more and more for all types of users around the world welcome, they often access to the Internet, the Internet search to find topics of interest and information network in a series of interactive activities, thanks to the Internet the large number of users and the complexity of the Internet in the form of mass data processing and network data more widely, there is an urgent need for a powerful data processing technology was born, in order to provide a higher quality of web services, web mining information network information processing technology an important tool, web mining came into being. Transport stream information between client and server, store large amounts of potentially valuable web log information, in order to analyze the data network user behavior and habits, improve system performance of the site, to provide users with personalized service.In this paper, Jingdong Mall shopping browsing this packet as data mining processing and analysis of data sources, mainly from the following aspects are described. First introduced in detail the background and significance of this research status and research at home and abroad, once again a detailed overview of data mining and web mining definition describes the association rules algorithm and Cookie Concepts and Applications. Details of the key technologies of classification and web mining. Secondly, the method focuses on the process and automatic web data extraction, extract web log information in a timely manner when extracting unique user name cookie can recognize. Then analyze the needs and methods of data cleansing. Details of the last classical algorithm -Apriori algorithm theoretical concepts and association rules mining, and introduces the idea of processing steps and algorithms Apriori algorithm implementation process, the implementation of the algorithm has been processed data, and analysis results As a result, in order to allow more clarity mining results, depending on the composition of our method of URL, URL parameters studied Jingdong Mall before drawing final user behavior, user behavior to be labeled, so that the marketing decision makers and site managers What can be more clear analysis of individual user habits.Understand customer behavior and needs within a business area very important work. Since the operation of e-commerce website timeless and geographical factors, through a website you can collect a lot of customer behavior data. Data contains many business decisions will affect the site user behavior information. Due to large amounts of data, manual analysis is almost an impossible task. Suitable for handling large amounts of data Web data mining technology here reflects its commercial value, it can help companies to quickly find relevant information and business decisions, improve resilience.