基于Hadoop的企业用户行为分析

Gang He, Siying Ren, Dechen Yu, Xiaochun Wu
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引用次数: 5

摘要

在过去的几年里,网络是人类生活中必不可少的一部分。越来越多的人选择在网上购物、聊天和看视频。所有在线活动都会产生大量包含我们行为特征的数据。传统的数据分析只关注一种特征,而忽略了多个特征合并产生的行为信息。在基础数据集的基础上,提出了一种新的数据分析方法——复合会话。在获得复合会话数据后,我们继续从企业用户的角度对数据进行处理,生成三种类型的分析表。由于来自两千多家企业的海量数据,我们提出在Hadoop云计算平台上处理数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Enterprise User Behavior on Hadoop
In the past few years, the network is an essential part in human's life. More and more people choose shopping, chatting and video online. All the online activities produce tons of data which contain our behavior characteristics. Traditional data analyses just focus on one kind of feature, while they neglect the behavior information generated by merging multiple features. Based on the basic data set, this paper provides a new method for analyzing data, called Compound Session. After acquiring the Compound Session data, we continue to process data from the perspective of enterprise user and produce three types of analysis tables. Due to huge amounts of data from more than two thousand enterprises, we propose to process data on the cloud computing platform called Hadoop.
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