文献类型：期刊文献

英文题名：Large-scale user behavior analysis

作者：Zhang, Lei[1]; Zhu, Shanhong[1]

通讯作者：Zhang, Lei

机构：[1] Xinxiang University, School of Computer and Information Engineering, Henan, China

第一机构：新乡学院计算机与信息工程学院

年份：2014

卷号：32

期号：6

起止页码：7729-7734

外文期刊名：Energy Education Science and Technology Part A: Energy Science and Research

收录：EI(收录号：20152500944914);Scopus(收录号：2-s2.0-84931275385)

语种：英文

外文关键词：Cloud computing - Computer aided network analysis - Data mining - Digital storage - Engines

摘要：This paper proposes the idea of user behavior analysis engine. It will combine the user behavior of static analysis with real-time acquisition of Web log. The user behavior analysis is the effective way to enhance the user viscosity, maintain traffic flow among the large Internet network. Using the data mining model based on cloud computing technology analyzes the contextual information that is obtained by accessing the page in Real-time, processing and storage at the same time. Experiments show that the system can improve the effect and efficiency of the user behavior analysis. ? Sila Science. All Rights Reserved.