Website Log Statistical Testing and Analysis

Zhao Yongjian
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Abstract

In a variety of large data sets, the website log is an important data source. Analyzing the website log, one can get a web page views, viscosity, and related recommendations. The Hadoop ecosystem has the characteristics of open source, active community, covering all aspects of big data processing and a mature ecosystem. In this paper, Hadoop series framework is utilized to test and analyze the website access log. The experiment results demonstrate that the proposed technique can analyze and improve user behavior conveniently.
网站日志统计测试与分析
在各种大型数据集中,网站日志是一个重要的数据源。分析网站日志,可以得到一个网页的浏览量,粘度,和相关的推荐。Hadoop生态系统具有开源、社区活跃、覆盖大数据处理的方方面面、生态成熟的特点。本文利用Hadoop系列框架对网站访问日志进行测试和分析。实验结果表明,该方法可以方便地分析和改进用户行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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