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有效的Web日志数据挖掘,可为网站经营决策提供客观可信的数据支撑。为实现门户网站的精准运营、业务优化和流量提升,建立基于Web日志的门户流量分析系统。该系统包含基础流量分析、用户访问行为分析、辅助运营分析、多维流量分析等模块,具有数据采集、数据建模、数据查询、数据报表、数据备份等功能,可以从多个纬度掌握门户网站的数据流量。经黑龙江信息港的运行实践表明,该门户流量分析系统为网站运营管理者掌握用户属性、了解用户需求导向,提供了可信、有力的数据支撑,具有应用价值。
Effective Web log data mining can provide objective and credible data support for website management decision-making. In order to realize the accurate operation, business optimization and traffic improvement of the portal website, a portal traffic analysis system based on Web log is established. The system includes basic traffic analysis, user access behavior analysis, auxiliary operation analysis and multi-dimensional traffic analysis module. It has the functions of data acquisition, data modeling, data query, data report and data backup. Data Flow. The operation practice of Heilongjiang Information Harbor shows that the portal traffic analysis system has the application value for the website operation manager to grasp the user attributes and understand the user demand orientation and provide credible and powerful data support.